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Program checklist · MSE

Data Science, MSE

University of Pennsylvania · Philadelphia, PA

A checklist is the list of requirements to complete this program and receive the award, as the college publishes it in its catalog. It is the same for everyone. It does not say what you have completed; that comes from applying your own record.

Program
Award
MSE
Total credits (published)
10
Credits (computed from items)
10
Catalog edition
2026-2027
Checklist type
degree-program
Identifiers
IPEDS UNITID
215062
CourseShelf checklist
CK_215062_1e64065d
CollegeTransfer.Net
Institution Transfer Profile
Source
CourseShelf publish 59

Requirements to complete

Every course or condition the catalog lists, in the catalog's order.

Curriculum

0 items

    Foundations (2 cu's)

    1 item
    1. CIT 5900
      Programming Languages and Techniques
      or: CIT 5910 Introduction to Software Development
      1

    Select one of the following:

    1 item
    1. CIS 5150
      Fundamentals of Linear Algebra and Optimization
      or: MATH 5130 Computational Linear Algebra
      1

    Core Requirements (3 cu's)

    major core · 2 items
    1. ESE 5420
      Statistics
      As published: “Statistics for Data Science”
      1
    2. CIS 5450
      1

    Select one of the following:

    1 item
    1. CIS 5190
      Applied Machine Learning
      or: CIS 5200 Machine Learning
      or: STAT 5710 Modern Data Mining
      or: ENM 5310 Data-driven Modeling and Probabilistic Scientific Computing
      or: ESE 5450 Data Mining: Learning from Massive Datasets
      1

    Technical Electives (5 cu's)

    electives · 1 item
    1. Students must choose from at least 3 of the buckets listed below
      Not resolved to a course
      5

    Technical Electives1

    electives · 0 items

      Applications

      0 items

        A. TitleThesis/Practicum (two course units)

        0 items

          Register for 2 course units of DATS 5970 Master's Thesis Research/Master’s Thesis or 2 course units of DATS 5990 Master's Indep Study/Master’s Independent Study. 2

          0 items

            B. Bio medicine

            7 items
            1. BE 5210
            2. BE 5660
              0.5
            3. BMIN 5210
              Advanced Methods and Health
              As published: “Advanced Methods and Health Applications in Machine Learning”
            4. BMIN 5220
            5. CIS 5360
            6. CIS 5370
            7. PHYS 5585

            C. Social/Network Science

            5 items
            1. CIS 5230
            2. ECON 7300
            3. ECON 8310
              Econometrics III: Advanced Techniques of
              As published: “Econometrics III: Advanced Techniques of Cross-Section Econometrics”
              1
            4. ECON 8320
              Econometrics IV: Advanced Techniques of Time-Series
              As published: “Econometrics IV: Advanced Techniques of Time-Series Econometrics”
            5. MKTG 7760

            D. Data-centric Programming

            7 items
            1. CIS 5050
            2. CIS 5500
            3. CIS 5520
            4. CIS 5550
              Internet
              As published: “Internet and Web Systems”
              1
            5. CIS 5590
            6. CIS 5730
            7. CIT 5950

            E. Surveys and Statistical Methods

            8 items
            1. MKTG 7120
            2. OIDD 6120
            3. STAT 9200
            4. STAT 9210
            5. STAT 9740
              Modern Regression for the Social
              As published: “Modern Regression for the Social, Behavioral and Biological Sciences”
              0.5
            6. STAT 6210
            7. STAT 5350
            8. STAT 7220
              0.5

            F. Data Analysis, Artificial Intelligence

            12 items
            1. CIS 5210
              Artificial Intelligence
              As published: “Artificial Intelligence”
              1
            2. CIS 5220
              1
            3. CIS 5300
            4. CIS 5800
            5. CIS 5810
              Computer Vision & Computational
              As published: “Computer Vision & Computational Photography”
            6. CIS 6200
            7. CIS 6250
            8. CIS 6800
              1
            9. ESE 5140
            10. ESE 6500
            11. STAT 5710
              1
            12. ESE 5460
              Principles
              As published: “Principles of Deep Learning”
              1

            G. Simulation Methods for Natural Science / Engineering

            6 items
            1. CBE 5250
            2. CBE 5440
              Computational Science of Energy and
              As published: “Computational Science of Energy and Chemical Transformations”
            3. CBE 5590
            4. MEAM 5270
            5. MEAM 6460
            6. MSE 5610

            H. Mathematical and Algorithmic Foundations

            13 items
            1. AMCS 5141
            2. CIS 5020
            3. CIT 5960
              1
            4. CIS 6770
            5. ENM 5020
            6. ESE 5030
            7. ENM 5310
              Data-driven Modeling and Probabilistic Scientific Computing
              As published: “Data-driven Modeling and Probabilistic Scientific Computing”
            8. ESE 5450
            9. ESE 6050
            10. ESE 6740
              3
            11. OIDD 9300
            12. STAT 5150
            13. STAT 9270
              1

            Curriculum

            0 items

              Foundations

              3 items
              1. CIT 5950
              2. CIT 5960
                1
              3. CIS 5150
                Fundamentals of Linear Algebra and Optimization
                As published: “Fundamentals of Linear Algebra and Optimization 1”
                or: EAS 5160& EAS 5170 Mathematical Foundations for Machine Learning I: Probabilityand Mathematical Foundations for Machine Learning II: Linear Algebra

              Core Courses

              major core · 4 items
              1. CIS 5450
              2. CIS 5500
              3. ESE 5410
              4. ESE 5420
                Statistics
                As published: “Statistics for Data Science”
                1

              Technical Electives

              electives · 12 items
              1. CIS 5030
                1
              2. CIS 5210
                Artificial Intelligence
                As published: “Artificial Intelligence”
                1
              3. CIS 5300
              4. CIS 5690
              5. CIS 5810
                Computer Vision & Computational
                As published: “Computer Vision & Computational Photography”
              6. ESE 5460
                Principles
                As published: “Principles of Deep Learning”
                1
              7. EAS 5240
                Technology Ethics and the Legal Second Year
                As published: “Technology Ethics and the Legal Landscape”
              8. EAS 5740
                1
              9. EAS 5850
              10. EAS 5860
              11. EAS 5870
              12. DATS 5980
                2

              Open Elective

              electives · 0 items

                Any online EAS/CIS/ESE/ENGR course or 2

                1 item
                1. HCIN 6022
                  Digital Health
                  As published: “Digital Health 3”
                  1
                Source. University of Pennsylvania, catalog 2026-2027 — https://catalog.upenn.edu/graduate/programs/data-science-mse/. Captured page pages/0412.html.gz. Assembled from the institution's published catalog as captured; every record names its captured page and source URL. Assembled, not asserted.