Statistical Science (STSCI)Engineering

Showing 46 results.

Course descriptions provided by the 2025-2026 Catalog.

STSCI 2100

Statistics is about understanding the world through data. We are surrounded by data, so there is a lot to understand. Covers data exploration and display, data gathering methods, probability, and statistical ... view course details

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Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: ILRST 2100

  • 4 Credits GradeNoAud

  •  4912 STSCI 2100   LEC 001

    • TR
    • Jan 20 - May 5, 2026
    • Entner, J

  • Instruction Mode: In Person

    Beginning with the first day of classes Industrial and Labor Relations (ILR) students must get permission to drop from an advisor in the ILR Office of Student Services.

  •  4913 STSCI 2100   DIS 201

    • F
    • Jan 20 - May 5, 2026
    • Entner, J

  • Instruction Mode: In Person

  •  4914 STSCI 2100   DIS 202

    • F
    • Jan 20 - May 5, 2026
    • Entner, J

  • Instruction Mode: In Person

  •  4915 STSCI 2100   DIS 203

    • F
    • Jan 20 - May 5, 2026
    • Entner, J

  • Instruction Mode: In Person

  •  4916 STSCI 2100   DIS 204

    • F
    • Jan 20 - May 5, 2026
    • Entner, J

  • Instruction Mode: In Person

  •  4917 STSCI 2100   DIS 205

    • F
    • Jan 20 - May 5, 2026
    • Entner, J

  • Instruction Mode: In Person

  •  4918 STSCI 2100   DIS 206

    • F
    • Jan 20 - May 5, 2026
    • Entner, J

  • Instruction Mode: In Person

  •  4919 STSCI 2100   DIS 208

    • F
    • Jan 20 - May 5, 2026
    • Entner, J

  • Instruction Mode: In Person

  •  4920 STSCI 2100   DIS 209

    • F
    • Jan 20 - May 5, 2026
    • Entner, J

  • Instruction Mode: In Person

  •  4921 STSCI 2100   DIS 210

    • F
    • Jan 20 - May 5, 2026
    • Entner, J

  • Instruction Mode: In Person

  •  5050 STSCI 2100   DIS 212

    • F
    • Jan 20 - May 5, 2026
    • Entner, J

  • Instruction Mode: In Person

  •  5051 STSCI 2100   DIS 214

    • F
    • Jan 20 - May 5, 2026
    • Entner, J

  • Instruction Mode: In Person

  •  5133 STSCI 2100   DIS 216

    • F
    • Jan 20 - May 5, 2026
    • Entner, J

  • Instruction Mode: In Person

  •  5134 STSCI 2100   DIS 217

    • F
    • Jan 20 - May 5, 2026
    • Entner, J

  • Instruction Mode: In Person

  •  5167 STSCI 2100   DIS 218

    • R
    • Jan 20 - May 5, 2026
    • Entner, J

  • Instruction Mode: In Person

  •  5135 STSCI 2100   DIS 219

    • R
    • Jan 20 - May 5, 2026
    • Entner, J

  • Instruction Mode: In Person

  •  5007 STSCI 2100   DIS 220

    • F
    • Jan 20 - May 5, 2026
    • Entner, J

  • Instruction Mode: In Person

  •  5008 STSCI 2100   DIS 221

    • F
    • Jan 20 - May 5, 2026
    • Entner, J

  • Instruction Mode: In Person

  •  5009 STSCI 2100   DIS 222

    • F
    • Jan 20 - May 5, 2026
    • Entner, J

  • Instruction Mode: In Person

  •  5010 STSCI 2100   DIS 223

    • F
    • Jan 20 - May 5, 2026
    • Entner, J

  • Instruction Mode: In Person

  •  5011 STSCI 2100   DIS 224

    • F
    • Jan 20 - May 5, 2026
    • Entner, J

  • Instruction Mode: In Person

  •  5012 STSCI 2100   DIS 225

    • F
    • Jan 20 - May 5, 2026
    • Entner, J

  • Instruction Mode: In Person

STSCI 2110

A second course in statistics that emphasizes applications to the social sciences. Topics include simple linear regression, multiple linear regression (theory, model building, and model diagnostics), and ... view course details

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Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: ILRST 2110ILRST 5110STSCI 5110

  • 4 Credits GradeNoAud

  •  4974 STSCI 2110   LEC 001

    • TR
    • Jan 20 - May 5, 2026
    • Packard, K

  • Instruction Mode: In Person

  •  4975 STSCI 2110   DIS 201

    • F
    • Jan 20 - May 5, 2026
    • Packard, K

  • Instruction Mode: In Person

  •  4976 STSCI 2110   DIS 202

    • R
    • Jan 20 - May 5, 2026
    • Packard, K

  • Instruction Mode: In Person

  •  7060 STSCI 2110   DIS 203

    • F
    • Jan 20 - May 5, 2026
    • Packard, K

  • Instruction Mode: In Person

  •  7061 STSCI 2110   DIS 204

    • F
    • Jan 20 - May 5, 2026
    • Packard, K

  • Instruction Mode: In Person

STSCI 2150

This course provides an introduction to data analysis and statistical inference illustrated with biological applications. The computer labs will teach graphical analysis and statistical computation using ... view course details

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Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: STSCI 5150

  • 4 Credits Opt NoAud

  •  5021 STSCI 2150   LEC 001

    • MWF
    • Jan 20 - May 5, 2026
    • Smith, M

  • Instruction Mode: In Person

    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/

  •  5922 STSCI 2150   DIS 201

    • R
    • Jan 20 - May 5, 2026
    • Smith, M

  • Instruction Mode: In Person

  •  5923 STSCI 2150   DIS 202

    • R
    • Jan 20 - May 5, 2026
    • Smith, M

  • Instruction Mode: In Person

  •  5924 STSCI 2150   DIS 203

    • F
    • Jan 20 - May 5, 2026
    • Smith, M

  • Instruction Mode: In Person

  •  5925 STSCI 2150   DIS 204

    • F
    • Jan 20 - May 5, 2026
    • Smith, M

  • Instruction Mode: In Person

  •  5926 STSCI 2150   DIS 205

    • R
    • Jan 20 - May 5, 2026
    • Smith, M

  • Instruction Mode: In Person

STSCI 3080

This course provides an introduction to probability and parametric inference. Topics include: random variables, standard distributions, the law of large numbers, the central limit theorem, likelihood-based ... view course details

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Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: BTRY 3080ILRST 3080STSCI 5080

  • 4 Credits Stdnt Opt

  •  4985 STSCI 3080   LEC 001

    • MW
    • Jan 20 - May 5, 2026
    • Bunea, F

  • Instruction Mode: In Person

    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/

  •  4986 STSCI 3080   DIS 201

    • T
    • Jan 20 - May 5, 2026
    • Bunea, F

  • Instruction Mode: In Person

  •  5099 STSCI 3080   DIS 202

    • R
    • Jan 20 - May 5, 2026
    • Bunea, F

  • Instruction Mode: In Person

STSCI 3110

This course provides an introduction to probability and parametric inference. Topics include: random variables, standard distributions, the law of large numbers, the central limit theorem, likelihood-based ... view course details

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: ECON 3110ILRST 3110

  • 4 Credits Graded

  •  5013 STSCI 3110   LEC 001

    • MW
    • Jan 20 - May 5, 2026
    • Packard, K

  • Instruction Mode: In Person

  •  5014 STSCI 3110   DIS 201

    • R
    • Jan 20 - May 5, 2026
    • Packard, K

  • Instruction Mode: In Person

  •  5015 STSCI 3110   DIS 202

    • F
    • Jan 20 - May 5, 2026
    • Packard, K

  • Instruction Mode: In Person

  •  5016 STSCI 3110   DIS 203

    • F
    • Jan 20 - May 5, 2026
    • Packard, K

  • Instruction Mode: In Person

  •  5017 STSCI 3110   DIS 204

    • F
    • Jan 20 - May 5, 2026
    • Packard, K

  • Instruction Mode: In Person

STSCI 3200

Applies linear statistical methods to quantitative problems addressed in biological and environmental research. Methods include linear regression, inference, model assumption evaluation, the likelihood ... view course details

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: BTRY 3020BTRY 5020STSCI 5201

  • 4 Credits Stdnt Opt

  •  5070 STSCI 3200   LEC 001

    • TR
    • Jan 20 - May 5, 2026
    • Entner, J

  • Instruction Mode: In Person

    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/

  •  8239 STSCI 3200   DIS 201

    • F
    • Jan 20 - May 5, 2026
    • Entner, J

  • Instruction Mode: In Person

  •  8240 STSCI 3200   DIS 202

    • F
    • Jan 20 - May 5, 2026
    • Entner, J

  • Instruction Mode: In Person

  •  8241 STSCI 3200   DIS 203

    • F
    • Jan 20 - May 5, 2026
    • Entner, J

  • Instruction Mode: In Person

  •  8242 STSCI 3200   DIS 204

    • F
    • Jan 20 - May 5, 2026
    • Entner, J

  • Instruction Mode: In Person

STSCI 3510

Uses basic concepts and techniques of random processes to construct models for a variety of problems of practical interest. Topics include: the Poisson process, Markov chains, renewal theory, models for ... view course details

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Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: ORIE 3510ORIE 5510

  • 4 Credits Stdnt Opt

  •  4932 STSCI 3510   LEC 001

    • TR
    • Jan 20 - May 5, 2026
    • Dai, J

  • Instruction Mode: In Person

  •  4933 STSCI 3510   DIS 201

    • M
    • Jan 20 - May 5, 2026
    • Dai, J

  • Instruction Mode: In Person

  •  4934 STSCI 3510   DIS 202

    • M
    • Jan 20 - May 5, 2026
    • Dai, J

  • Instruction Mode: In Person

  •  4935 STSCI 3510   DIS 203

    • T
    • Jan 20 - May 5, 2026
    • Dai, J

  • Instruction Mode: In Person

  •  4936 STSCI 3510   DIS 204

    • W
    • Jan 20 - May 5, 2026
    • Dai, J

  • Instruction Mode: In Person

  •  5276 STSCI 3510   DIS 205

    • F
    • Jan 20 - May 5, 2026
    • Dai, J

  • Instruction Mode: In Person

STSCI 3600

Integrated Ethics in Data Science examines your responsibilities in data analysis. Our investigation starts with the aggregated impacts of data science on fairness, privacy, and justice outcomes for groups ... view course details

View Enrollment Information

Syllabi: none
  •   Seven Week - First.  Choose one lecture and one project. Combined with: STSCI 5600

  • 2 Credits Opt NoAud

  • 10220 STSCI 3600   LEC 001

    • TR
    • Jan 20 - Mar 10, 2026
    • Karns, M

  • Instruction Mode: In Person

    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/

  • 10221 STSCI 3600   PRJ 601

    • Jan 20 - Mar 10, 2026
    • Karns, M

  • Instruction Mode: In Person

STSCI 3740

We start off with a detailed refresher for Linear Regression. We then turn to popular methods for classification including Logistic Regression and Discriminant Analysis. Finally, we consider more advanced ... view course details

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Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one project. Combined with: STSCI 5740

  • 4 Credits Opt NoAud

  •  5437 STSCI 3740   LEC 001

    • TR
    • Jan 20 - May 5, 2026
    • Ning, Y

  • Instruction Mode: In Person

    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/

  •  5920 STSCI 3740   PRJ 601

    • Jan 20 - May 5, 2026
    • Ning, Y

  • Instruction Mode: In Person

STSCI 4090

Introduction to classical theory of parametric statistical inference that builds on the material covered in BTRY 3080. Topics include: sampling distributions, principles of data reduction, likelihood, ... view course details

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: BTRY 4090BTRY 5090STSCI 5090

  • 4 Credits Graded

  •  4930 STSCI 4090   LEC 001

    • MW
    • Jan 20 - May 5, 2026
    • Wegkamp, M

  • Instruction Mode: In Person

    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/

  •  5100 STSCI 4090   DIS 202

    • F
    • Jan 20 - May 5, 2026
    • Wegkamp, M

  • Instruction Mode: In Person

  •  6984 STSCI 4090   DIS 203

    • F
    • Jan 20 - May 5, 2026
    • Wegkamp, M

  • Instruction Mode: In Person

STSCI 4100

This course is on the basics of multivariate statistical analysis. The focus ison the applied side, and the students will learn by examples of multiple real-life datasets. Studentswill learn to visualize ... view course details

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Syllabi: none
  •   Regular Academic Session.  Combined with: BTRY 4100ILRST 4100STSCI 5111

  • 4 Credits Stdnt Opt

  •  5448 STSCI 4100   LEC 001

    • MW
    • Jan 20 - May 5, 2026
    • Yang, D

  • Instruction Mode: In Person

    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/

STSCI 4520

This course is designed to provide students with an introduction to statistical computing. The class will cover the basics of programming; numerical methods for optimization and linear algebra and their ... view course details

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Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: STSCI 5520

  • 4 Credits Stdnt Opt

  •  4740 STSCI 4520   LEC 001

    • TR
    • Jan 20 - May 5, 2026
    • Kent, D

  • Instruction Mode: In Person

    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/

  •  4741 STSCI 4520   DIS 201

    • F
    • Jan 20 - May 5, 2026
    • Kent, D

  • Instruction Mode: In Person

STSCI 4550

Introduces statistical tools for the analysis of time-dependent data. Data analysis and application will be an integral part of this course. Topics include linear, nonlinear, seasonal, multivariate modeling, ... view course details

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Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: ILRST 4550ORIE 5550STSCI 5550

  • 4 Credits Opt NoAud

  •  4977 STSCI 4550   LEC 001

    • TR
    • Jan 20 - May 5, 2026
    • Kim, Y

  • Instruction Mode: In Person

    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/

  •  4979 STSCI 4550   DIS 201

    • F
    • Jan 20 - May 5, 2026
    • Kim, Y

  • Instruction Mode: In Person

STSCI 4850

In this course students will learn about the consulting process using data science. They will understand how statistics and data science knowledge can be applied to real world questions starting ... view course details

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Syllabi: none
  •   Seven Week - Second.  Choose one lecture and one project.

  • 2 Credits GradeNoAud

  • 10667 STSCI 4850   LEC 001

    • W
    • Mar 11 - May 5, 2026
    • Das, S

  • Instruction Mode: In Person

  • 10668 STSCI 4850   PRJ 601

    • Mar 11 - May 5, 2026
    • Das, S

  • Instruction Mode: In Person

STSCI 4970

Students assist in teaching a course appropriate to their previous training. Students meet with a discussion or laboratory section and regularly discuss objectives with the course instructor. view course details

View Enrollment Information

Syllabi: none
  •   Regular Academic Session. 

  • 1-4 Credits Sat/Unsat

  •  5044 STSCI 4970   IND 601

    • Jan 20 - May 5, 2026
    • Wells, M

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Regular Academic Session. 

  • 1-4 Credits Sat/Unsat

  •  5069 STSCI 4970   IND 602

    • Jan 20 - May 5, 2026
    • Smith, M

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Regular Academic Session. 

  • 1-4 Credits Sat/Unsat

  •  5074 STSCI 4970   IND 603

    • Jan 20 - May 5, 2026
    • Diciccio, T

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Regular Academic Session. 

  • 1-4 Credits Sat/Unsat

  •  5089 STSCI 4970   IND 604

    • Jan 20 - May 5, 2026
    • Packard, K

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Regular Academic Session. 

  • 1-4 Credits Sat/Unsat

  •  5327 STSCI 4970   IND 605

    • Jan 20 - May 5, 2026
    • Matteson, D

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Regular Academic Session. 

  • 1-4 Credits Sat/Unsat

  •  5328 STSCI 4970   IND 606

    • Jan 20 - May 5, 2026
    • Guinness, J

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Regular Academic Session. 

  • 1-4 Credits Sat/Unsat

  •  5329 STSCI 4970   IND 607

    • Jan 20 - May 5, 2026
    • Basu, S

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Regular Academic Session. 

  • 1-4 Credits Sat/Unsat

  •  5435 STSCI 4970   IND 608

    • Jan 20 - May 5, 2026
    • Karns, M

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Regular Academic Session. 

  • 1-4 Credits Sat/Unsat

  •  7306 STSCI 4970   IND 609

    • Jan 20 - May 5, 2026
    • Entner, J

  • Instruction Mode: Independent Studies

STSCI 4980

Problem solving sessions to prepare students for the first four actuarial examinations (probability, financial mathematics, statistical modeling, and risk management). view course details

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Syllabi: none
  •   Project Session Full.  Combined with: STSCI 5980

  • 2 Credits Sat/Unsat

  • 13061 STSCI 4980   PRJ 601

    • Jan 20 - May 5, 2026
    • Wells, M

  • Instruction Mode: In Person

    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/

STSCI 4990

Course consists of individual tutorial study selected by faculty. Because topics usually change year to year this course may be repeated for credit. view course details

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Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 13919 STSCI 4990   IND 601

    • Jan 20 - May 5, 2026
    • Wells, M

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 13961 STSCI 4990   IND 602

    • Jan 20 - May 5, 2026
    • Ruppert, D

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 14078 STSCI 4990   IND 603

    • Jan 20 - May 5, 2026
    • Booth, J

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 14118 STSCI 4990   IND 604

    • Jan 20 - May 5, 2026
    • Diciccio, T

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 14119 STSCI 4990   IND 605

    • Jan 20 - May 5, 2026
    • Kuceyeski, A

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 14128 STSCI 4990   IND 607

    • Jan 20 - May 5, 2026
    • Basu, S

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 14131 STSCI 4990   IND 608

    • Jan 20 - May 5, 2026
    • Lu, H

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 14164 STSCI 4990   IND 609

    • Jan 20 - May 5, 2026
    • Ning, Y

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 14169 STSCI 4990   IND 610

    • Jan 20 - May 5, 2026
    • Wegkamp, M

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 16682 STSCI 4990   IND 611

    • Jan 20 - May 5, 2026
    • Wang, Y

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 17047 STSCI 4990   IND 612

    • Jan 20 - May 5, 2026
    • Molinari, F

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 17433 STSCI 4990   IND 613

    • Jan 20 - May 5, 2026
    • Smith, M

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 17459 STSCI 4990   IND 614

    • Jan 20 - May 5, 2026
    • Staff

  • Instruction Mode: Independent Studies

STSCI 4995

Students planning internships related to Statistics and Data Science are encouraged to enroll in the departmental internship course. view course details

View Enrollment Information

Syllabi: none
  •   Project Session Full.  Combined with: STSCI 5995

  • 1 Credit Sat/Unsat

  • 12577 STSCI 4995   IND 601

    • Jan 20 - May 5, 2026
    • Das, S

  • Instruction Mode: Independent Studies

STSCI 4999

Research at the undergraduate level. view course details

View Enrollment Information

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 13860 STSCI 4999   RSC 701

    • Jan 20 - May 5, 2026
    • Wells, M

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 14089 STSCI 4999   RSC 702

    • Jan 20 - May 5, 2026
    • Diciccio, T

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 14251 STSCI 4999   RSC 703

    • Jan 20 - May 5, 2026
    • Matteson, D

  • Instruction Mode: Directed Research

STSCI 5010

This course teaches the basics of SAS (Statistical Analysis System) programming and the SAS Enterprise Miner software. This course is composed two modules. The first module, in the first 12 weeks, covers ... view course details

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Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one project.

  • 4 Credits Stdnt Opt

  •  9273 STSCI 5010   LEC 001

    • MWF
    • Jan 20 - May 5, 2026
    • Yang, X

  • Instruction Mode: In Person

    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/

  •  9275 STSCI 5010   PRJ 601

    • Jan 20 - May 5, 2026
    • Yang, X

  • Instruction Mode: In Person

STSCI 5065

Concepts, challenges, and industry trends of big data, with a focus on the Hadoop system. Topics include: basics of the Apache Hadoop platform and Hadoop ecosystem; the Hadoop distributed file system (HDFS); ... view course details

View Enrollment Information

Syllabi: none
  •   Regular Academic Session. 

  • 3 Credits Graded

  •  5046 STSCI 5065   LEC 001

    • MWF
    • Jan 20 - May 5, 2026
    • Yang, X

  • Instruction Mode: In Person

    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/
    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/

STSCI 5080

This course provides an introduction to probability and parametric inference. Topics include: random variables, standard distributions, the law of large numbers, the central limit theorem, likelihood-based ... view course details

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: BTRY 3080ILRST 3080STSCI 3080

  • 4 Credits Stdnt Opt

  •  5458 STSCI 5080   LEC 001

    • MW
    • Jan 20 - May 5, 2026
    • Bunea, F

  • Instruction Mode: In Person

    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/

  •  5459 STSCI 5080   DIS 201

    • T
    • Jan 20 - May 5, 2026
    • Bunea, F

  • Instruction Mode: In Person

  •  5460 STSCI 5080   DIS 202

    • R
    • Jan 20 - May 5, 2026
    • Bunea, F

  • Instruction Mode: In Person

STSCI 5090

Introduction to classical theory of parametric statistical inference that builds on the material covered in BTRY 3080. Topics include sampling distributions, principles of data reduction, likelihood, parameter ... view course details

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Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: BTRY 4090BTRY 5090STSCI 4090

  • 4 Credits Graded

  •  5310 STSCI 5090   LEC 001

    • MW
    • Jan 20 - May 5, 2026
    • Wegkamp, M

  • Instruction Mode: In Person

  •  5311 STSCI 5090   DIS 202

    • F
    • Jan 20 - May 5, 2026
    • Wegkamp, M

  • Instruction Mode: In Person

  •  6987 STSCI 5090   DIS 203

    • F
    • Jan 20 - May 5, 2026
    • Wegkamp, M

  • Instruction Mode: In Person

STSCI 5110

Second course in statistics that emphasizes applications to the social sciences. Topics include simple linear regression, multiple linear regression (theory, model building, and model diagnostics), and ... view course details

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: ILRST 2110ILRST 5110STSCI 2110

  • 4 Credits GradeNoAud

  •  4995 STSCI 5110   LEC 001

    • TR
    • Jan 20 - May 5, 2026
    • Packard, K

  • Instruction Mode: In Person

    Prerequisite: ILRST 2100 or ILRST 5100 or equivalent.

  •  4996 STSCI 5110   DIS 201

    • F
    • Jan 20 - May 5, 2026
    • Packard, K

  • Instruction Mode: In Person

  •  4997 STSCI 5110   DIS 202

    • R
    • Jan 20 - May 5, 2026
    • Packard, K

  • Instruction Mode: In Person

  •  7064 STSCI 5110   DIS 203

    • F
    • Jan 20 - May 5, 2026
    • Packard, K

  • Instruction Mode: In Person

  •  7065 STSCI 5110   DIS 204

    • F
    • Jan 20 - May 5, 2026
    • Packard, K

  • Instruction Mode: In Person

STSCI 5111

This course is on the basics of multivariate statistical analysis. The focus ison the applied side, and the students will learn by examples of multiple real-life datasets. Studentswill learn to visualize ... view course details

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Combined with: BTRY 4100ILRST 4100STSCI 4100

  • 4 Credits Stdnt Opt

  •  5455 STSCI 5111   LEC 001

    • MW
    • Jan 20 - May 5, 2026
    • Yang, D

  • Instruction Mode: In Person

    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/

STSCI 5150

This course provides an introduction to data analysis and statistical inference illustrated with biological applications. The computer labs will teach graphical analysis and statistical computation using ... view course details

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: STSCI 2150

  • 4 Credits Opt NoAud

  •  5288 STSCI 5150   LEC 001

    • MWF
    • Jan 20 - May 5, 2026
    • Smith, M

  • Instruction Mode: In Person

    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/

  •  5927 STSCI 5150   DIS 201

    • R
    • Jan 20 - May 5, 2026
    • Smith, M

  • Instruction Mode: In Person

  •  5928 STSCI 5150   DIS 202

    • R
    • Jan 20 - May 5, 2026
    • Smith, M

  • Instruction Mode: In Person

  •  5929 STSCI 5150   DIS 203

    • F
    • Jan 20 - May 5, 2026
    • Smith, M

  • Instruction Mode: In Person

  •  5930 STSCI 5150   DIS 204

    • F
    • Jan 20 - May 5, 2026
    • Smith, M

  • Instruction Mode: In Person

  •  5931 STSCI 5150   DIS 205

    • R
    • Jan 20 - May 5, 2026
    • Smith, M

  • Instruction Mode: In Person

STSCI 5201

Applies linear statistical methods to quantitative problems addressed in biological and environmental research. Methods include linear regression, inference, model assumption evaluation, the likelihood ... view course details

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: BTRY 3020BTRY 5020STSCI 3200

  • 4 Credits Stdnt Opt

  •  5356 STSCI 5201   LEC 001

    • TR
    • Jan 20 - May 5, 2026
    • Entner, J

  • Instruction Mode: In Person

  •  8232 STSCI 5201   DIS 201

    • F
    • Jan 20 - May 5, 2026
    • Entner, J

  • Instruction Mode: In Person

  •  8233 STSCI 5201   DIS 202

    • F
    • Jan 20 - May 5, 2026
    • Entner, J

  • Instruction Mode: In Person

  •  8234 STSCI 5201   DIS 203

    • F
    • Jan 20 - May 5, 2026
    • Entner, J

  • Instruction Mode: In Person

  •  8235 STSCI 5201   DIS 204

    • F
    • Jan 20 - May 5, 2026
    • Entner, J

  • Instruction Mode: In Person

STSCI 5520

This course is designed to provide students with an introduction to statistical computing. The class will cover the basics of programming; numerical methods for optimization and linear algebra and their ... view course details

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: STSCI 4520

  • 4 Credits Stdnt Opt

  •  5347 STSCI 5520   LEC 001

    • TR
    • Jan 20 - May 5, 2026
    • Kent, D

  • Instruction Mode: In Person

    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/

  •  5348 STSCI 5520   DIS 201

    • F
    • Jan 20 - May 5, 2026
    • Kent, D

  • Instruction Mode: In Person

STSCI 5550

Introduces statistical tools for the analysis of time-dependent data. Data analysis and application will be an integral part of this course. Topics include linear, nonlinear, seasonal, multivariate modeling, ... view course details

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: ILRST 4550ORIE 5550STSCI 4550

  • 4 Credits Opt NoAud

  •  5314 STSCI 5550   LEC 001

    • TR
    • Jan 20 - May 5, 2026
    • Kim, Y

  • Instruction Mode: In Person

    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/

  •  5315 STSCI 5550   DIS 201

    • F
    • Jan 20 - May 5, 2026
    • Kim, Y

  • Instruction Mode: In Person

STSCI 5600

Integrated Ethics in Data Science examines your responsibilities in data analysis. Our investigation starts with the aggregated impacts of data science on fairness, privacy, and justice outcomes for groups ... view course details

View Enrollment Information

Syllabi: none
  •   Seven Week - First.  Choose one lecture and one project. Combined with: STSCI 3600

  • 2 Credits Opt NoAud

  • 10222 STSCI 5600   LEC 001

    • TR
    • Jan 20 - Mar 10, 2026
    • Karns, M

  • Instruction Mode: In Person

    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/

  • 10223 STSCI 5600   PRJ 601

    • Jan 20 - Mar 10, 2026
    • Karns, M

  • Instruction Mode: In Person

STSCI 5640

Regression, ARIMA, GARCH, stochastic volatility, and factor models. Calibration of financial engineering models, estimation of diffusion models, estimation of risk measures, multivariate models and copulas, ... view course details

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: ORIE 5640

  • 4 Credits Graded

  •  9187 STSCI 5640   LEC 001

    • W
    • Jan 20 - May 5, 2026
    • Matteson, D

  • Instruction Mode: In Person

  •  9188 STSCI 5640   DIS 201

    • F
    • Jan 20 - May 5, 2026
    • Matteson, D

  • Instruction Mode: In Person

STSCI 5740

We start off with a detailed refresher for Linear Regression. We then turn to popular methods for classification including Logistic Regression and Discriminant Analysis. Finally, we consider more advanced ... view course details

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one project. Combined with: STSCI 3740

  • 4 Credits Opt NoAud

  •  5438 STSCI 5740   LEC 001

    • TR
    • Jan 20 - May 5, 2026
    • Ning, Y

  • Instruction Mode: In Person

    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/

  •  5921 STSCI 5740   PRJ 601

    • Jan 20 - May 5, 2026
    • Ning, Y

  • Instruction Mode: In Person

STSCI 5955

This course is designed to run in parallel to STSCI 5999 (Applied Statistics MPS Data Analysis Project) and is a required part of the final-semester client project for MPS students. In this course students ... view course details

View Enrollment Information

Syllabi: none
  •   Regular Academic Session. 

  • 1 Credit Graded

  •  5474 STSCI 5955   LEC 001

    • M
    • Jan 20 - May 5, 2026
    • Das, S

  • Instruction Mode: In Person

    Corequisite: STSCI 5999.

STSCI 5980

Problem solving sessions to prepare students for the first four actuarial examinations (probability, financial mathematics, statistical modeling, and risk management). view course details

View Enrollment Information

Syllabi: none
  •   Project Session Full.  Combined with: STSCI 4980

  • 2 Credits Sat/Unsat

  • 12579 STSCI 5980   PRJ 601

    • Jan 20 - May 5, 2026
    • Wells, M

  • Instruction Mode: In Person

    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/

STSCI 5990

For individual or group research projects conducted under the direction of a member of STSCI faculty or instructors in a special area of statistical science that is not covered by regular course ... view course details

View Enrollment Information

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 13646 STSCI 5990   RSC 701

    • Jan 20 - May 5, 2026
    • Yang, X

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 14101 STSCI 5990   RSC 703

    • Jan 20 - May 5, 2026
    • Wells, M

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 16585 STSCI 5990   RSC 704

    • Jan 20 - May 5, 2026
    • Matteson, D

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 16586 STSCI 5990   RSC 705

    • Jan 20 - May 5, 2026
    • Guinness, J

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 16587 STSCI 5990   RSC 706

    • Jan 20 - May 5, 2026
    • Basu, S

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 16675 STSCI 5990   RSC 707

    • Jan 20 - May 5, 2026
    • Ruppert, D

  • Instruction Mode: Directed Research

STSCI 5995

Students planning internships related to Statistics and Data Science are encouraged to enroll in the departmental internship course. view course details

View Enrollment Information

Syllabi: none
  •   Project Session Full.  Combined with: STSCI 4995

  • 1 Credit Sat/Unsat

  • 12578 STSCI 5995   IND 601

    • Jan 20 - May 5, 2026
    • Das, S

  • Instruction Mode: Independent Studies

STSCI 5999

It is a long-term, in-depth statistical analysis of real-world dataset using various statistical methods and computer packages (such as SAS, R, SPSS, etc.). Students work in teams (of maximum size 4) to ... view course details

View Enrollment Information

Syllabi: none
  •   Project Session Full. 

  • 4 Credits Graded

  • 13936 STSCI 5999   RSC 701

    • Jan 20 - May 5, 2026
    • Booth, J

  • Instruction Mode: Directed Research

    Enrollment limited to: students currently enrolled in Master of Professional Studies (MPS) in Applied Statistics. Prerequisite: STSCI 4030, STSCI 5010 and STSCI 5080.

Syllabi: none
  •   Project Session Full. 

  • 4 Credits Graded

  • 13937 STSCI 5999   RSC 702

    • Jan 20 - May 5, 2026
    • Basu, S

  • Instruction Mode: Directed Research

    Enrollment limited to: students currently enrolled in Master of Professional Studies (MPS) in Applied Statistics.

Syllabi: none
  •   Project Session Full. 

  • 4 Credits Graded

  • 13938 STSCI 5999   RSC 703

    • Jan 20 - May 5, 2026
    • Kuceyeski, A

  • Instruction Mode: Directed Research

    Enrollment limited to: students currently enrolled in Master of Professional Studies (MPS) in Applied Statistics.

Syllabi: none
  •   Project Session Full. 

  • 4 Credits Graded

  • 13939 STSCI 5999   RSC 704

    • Jan 20 - May 5, 2026
    • Matteson, D

  • Instruction Mode: Directed Research

    Enrollment limited to: students currently enrolled in Master of Professional Studies (MPS) in Applied Statistics.

Syllabi: none
  •   Project Session Full. 

  • 4 Credits Graded

  • 13940 STSCI 5999   RSC 705

    • Jan 20 - May 5, 2026
    • Ning, Y

  • Instruction Mode: Directed Research

    Enrollment limited to: students currently enrolled in Master of Professional Studies (MPS) in Applied Statistics.

Syllabi: none
  •   Project Session Full. 

  • 4 Credits Graded

  • 17028 STSCI 5999   RSC 706

    • Jan 20 - May 5, 2026
    • El Alaoui, A

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 4 Credits Graded

  • 13941 STSCI 5999   RSC 711

    • Jan 20 - May 5, 2026
    • Yang, D

  • Instruction Mode: Directed Research

    Enrollment limited to: students currently enrolled in Master of Professional Studies (MPS) in Applied Statistics.

Syllabi: none
  •   Project Session Full. 

  • 4 Credits Graded

  • 13942 STSCI 5999   RSC 713

    • Jan 20 - May 5, 2026
    • Wells, M

  • Instruction Mode: Directed Research

    Enrollment limited to: students currently enrolled in Master of Professional Studies (MPS) in Applied Statistics.

Syllabi: none
  •   Project Session Full. 

  • 4 Credits Graded

  • 13943 STSCI 5999   RSC 717

    • Jan 20 - May 5, 2026
    • Diciccio, T

  • Instruction Mode: Directed Research

    Enrollment limited to: students currently enrolled in Master of Professional Studies (MPS) in Applied Statistics.

Syllabi: none
  •   Project Session Full. 

  • 4 Credits Graded

  • 13944 STSCI 5999   RSC 719

    • Jan 20 - May 5, 2026
    • Yang, X

  • Instruction Mode: Directed Research

    Enrollment limited to: students currently enrolled in Master of Professional Studies (MPS) in Applied Statistics.

Syllabi: none
  •   Project Session Full. 

  • 4 Credits Graded

  • 13945 STSCI 5999   RSC 720

    • Jan 20 - May 5, 2026
    • Smith, M

  • Instruction Mode: Directed Research

    Enrollment limited to: students currently enrolled in Master of Professional Studies (MPS) in Applied Statistics.

Syllabi: none
  •   Project Session Full. 

  • 4 Credits Graded

  • 16655 STSCI 5999   RSC 721

    • Jan 20 - May 5, 2026
    • Das, S

  • Instruction Mode: Directed Research

    Enrollment limited to: students currently enrolled in Master of Professional Studies (MPS) in Applied Statistics.

Syllabi: none
  •   Project Session Full. 

  • 4 Credits Graded

  • 13229 STSCI 5999   RSC 722

    • Jan 20 - May 5, 2026
    • Kato, K

      Wang, Y

  • Instruction Mode: Directed Research

    Enrollment limited to: students currently enrolled in Master of Professional Studies (MPS) in Applied Statistics.

Syllabi: none
  •   Project Session Full. 

  • 4 Credits Graded

  • 17413 STSCI 5999   RSC 723

    • Jan 20 - May 5, 2026
    • Ruppert, D

  • Instruction Mode: Directed Research

STSCI 6020

Continuation of BTRY 6010. Emphasizes the use of multiple regression analysis, analysis of variance, and related techniques to analyze data in a variety of situations. Topics include an introduction to ... view course details

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one laboratory. Combined with: BTRY 6020

  • 4 Credits Stdnt Opt

  •  9632 STSCI 6020   LEC 001

    • MW
    • Jan 20 - May 5, 2026
    • Bettache, N

  • Instruction Mode: In Person

    Instructor permission required to enroll.

  •  9633 STSCI 6020   LAB 401

    • M
    • Jan 20 - May 5, 2026
    • Bettache, N

  • Instruction Mode: In Person

  •  9634 STSCI 6020   LAB 402

    • T
    • Jan 20 - May 5, 2026
    • Bettache, N

  • Instruction Mode: In Person

STSCI 6730

This course will focus on the finite sample theory of statistical inference, emphasizing estimation, hypothesis testing, and confidence intervals. Specific topics include: uniformly minimum variance unbiased ... view course details

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Combined with: MATH 6730

  • 3 Credits Opt NoAud

  •  5163 STSCI 6730   LEC 001

    • MW
    • Jan 20 - May 5, 2026
    • Bunea, F

  • Instruction Mode: In Person

    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/

STSCI 6750

This course will discuss several probabilistic results and techniques that are useful in mathematical statistics. Limit theorems and stochastic inequalities are two key components of the course. Topics ... view course details

View Enrollment Information

Syllabi: none
  •   Regular Academic Session. 

  • 3 Credits Stdnt Opt

  •  8835 STSCI 6750   LEC 001

    • MW
    • Jan 20 - May 5, 2026
    • Kato, K

  • Instruction Mode: In Person

    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/

STSCI 6780

Priors, posteriors, Bayes estimators, decision theory, asymptotic theory, Bayes factors, credible regions, hierarchical models, nonparametric Bayes, computational methods, Bayesian robustness, and applications. ... view course details

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Combined with: ORIE 6780

  • 3 Credits Stdnt Opt

  •  9169 STSCI 6780   LEC 001

    • TR
    • Jan 20 - May 5, 2026
    • Kowal, D

  • Instruction Mode: In Person

STSCI 6940

Topics are arranged at the beginning of the semester for individual study or for group discussions. Or, students may elect to undertake a project in statistics. The work is supervised by a professor in ... view course details

View Enrollment Information

Syllabi: none
  •   Seven Week - Second. 

  • 1-4 Credits Stdnt Opt

  • Topic: Topics in Theoretical Statistics - Empirical Bayes

  • 10676 STSCI 6940   LEC 001

    • TR
    • Mar 11 - May 5, 2026
    • Sen, B

  • Instruction Mode: In Person

STSCI 6970

Individual tutorial study selected by the faculty. Because topics usually change from year to year, this course may be repeated for credit. view course details

View Enrollment Information

Syllabi: none
  •   Regular Academic Session. 

  • 3 Credits Stdnt Opt

  •  5342 STSCI 6970   IND 601

    • Jan 20 - May 5, 2026
    • Wegkamp, M

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Regular Academic Session. 

  • 3 Credits Stdnt Opt

  •  7307 STSCI 6970   IND 602

    • Jan 20 - May 5, 2026
    • Kuceyeski, A

  • Instruction Mode: Independent Studies

STSCI 7951

This course focuses on practical data analysis involving advanced statistical methods applied to real datasets. Students will be required to attend meetings with Cornell Statistical Consulting Unit (CSCU) ... view course details

View Enrollment Information

Syllabi: none
  •   Regular Academic Session. 

  • 2 Credits Stdnt Opt

  •  5336 STSCI 7951   LEC 001

    • T
    • Jan 20 - May 5, 2026
    • Staff

  • Instruction Mode: In Person

    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/

STSCI 7999

Research at the Ph.D. Level. view course details

View Enrollment Information

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Sat/Unsat

  • 13861 STSCI 7999   RSC 701

    • Jan 20 - May 5, 2026
    • Wells, M

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Sat/Unsat

  • 14069 STSCI 7999   RSC 703

    • Jan 20 - May 5, 2026
    • Matteson, D

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Sat/Unsat

  • 14070 STSCI 7999   RSC 704

    • Jan 20 - May 5, 2026
    • Bunea, F

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Sat/Unsat

  • 14071 STSCI 7999   RSC 707

    • Jan 20 - May 5, 2026
    • Staff

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Sat/Unsat

  • 14072 STSCI 7999   RSC 708

    • Jan 20 - May 5, 2026
    • Ruppert, D

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Sat/Unsat

  • 14073 STSCI 7999   RSC 709

    • Jan 20 - May 5, 2026
    • Booth, J

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Sat/Unsat

  • 14074 STSCI 7999   RSC 713

    • Jan 20 - May 5, 2026
    • Diciccio, T

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Sat/Unsat

  • 14075 STSCI 7999   RSC 715

    • Jan 20 - May 5, 2026
    • Wegkamp, M

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Sat/Unsat

  • 14186 STSCI 7999   RSC 716

    • Jan 20 - May 5, 2026
    • Guinness, J

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Sat/Unsat

  • 14187 STSCI 7999   RSC 717

    • Jan 20 - May 5, 2026
    • Basu, S

  • Instruction Mode: Directed Research

STSCI 9999

Doctoral Level Dissertation Research. view course details

View Enrollment Information

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Stdnt Opt

  • 13862 STSCI 9999   RSC 701

    • Jan 20 - May 5, 2026
    • Wells, M

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Stdnt Opt

  • 13948 STSCI 9999   RSC 703

    • Jan 20 - May 5, 2026
    • Matteson, D

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Stdnt Opt

  • 13949 STSCI 9999   RSC 704

    • Jan 20 - May 5, 2026
    • Bunea, F

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Stdnt Opt

  • 13950 STSCI 9999   RSC 707

    • Jan 20 - May 5, 2026
    • Ruppert, D

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Stdnt Opt

  • 13951 STSCI 9999   RSC 708

    • Jan 20 - May 5, 2026
    • Guinness, J

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Stdnt Opt

  • 13952 STSCI 9999   RSC 709

    • Jan 20 - May 5, 2026
    • Booth, J

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Stdnt Opt

  • 13953 STSCI 9999   RSC 711

    • Jan 20 - May 5, 2026
    • Wegkamp, M

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Stdnt Opt

  • 13954 STSCI 9999   RSC 715

    • Jan 20 - May 5, 2026
    • Basu, S

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Stdnt Opt

  • 13955 STSCI 9999   RSC 716

    • Jan 20 - May 5, 2026
    • Diciccio, T

  • Instruction Mode: Directed Research