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Program checklist · MS

Bioinformatics, MS (Boston)

Northeastern University · Boston, MA

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
MS
Credential class
ceterms:MasterDegree
CIP
26.1103
Credits (computed from items)
102-103
Catalog edition
2026-2027
Checklist type
degree-program
Identifiers
IPEDS UNITID
167358
CourseShelf checklist
CK_167358_d03f32f0
CollegeTransfer.Net
Institution Transfer Profile
Source
CourseShelf publish 61

Requirements to complete

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

Core Requirements

major core · 0 items

    Programming

    1 item
    1. 4

    Computational Methods

    1 item
    1. 4

    Statistics

    1 item
    1. 4

    Research and Seminar

    3 items
    1. Complete one of the following:
      Not resolved to a course
      1-2
    2. 2
    3. NNMD 5310
      Bioethics in the Age of Artificial Intelligence
      Not resolved to a course

    Professional Development

    1 item
    1. 1

    Coursework Pathway

    1 item
    1. Complete 4 semester hours from the restricted electives or additional electives lists below.
      Not resolved to a course
      4

    Optional Co-op Experience

    1 item
    1. or: BINF 6965 Co-op Work Experience Abroad
      0

    Concentration in Bioinformatics Enterprise

    concentration · 4 items
    1. 2
    2. 3
    3. 3
    4. Complete 6 semester hours of coursework from the restricted electives list below.
      Not resolved to a course
      6

    Concentration in Biotechnology

    concentration · 4 items
    1. 3
    2. 3
    3. 3
    4. Complete 5 semester hours of coursework from the restricted electives list below.
      Not resolved to a course
      5

    Concentration in Data Analytics

    concentration · 6 items
    1. 4
    2. As published: “Introduction to Data Mining/Machine Learning (or Elective)”
      4
    3. Complete one of the following:
      Not resolved to a course
      4
    4. 4
    5. 4
    6. Complete 2 semester hours from the restricted electives list below.
      Not resolved to a course
      2

    Concentration in Health Informatics

    concentration · 8 items
    1. Complete at least 9 semester hours from the following:
      Not resolved to a course
      9
    2. 3
    3. 3
    4. 3
    5. 4
    6. 3
    7. Complete 5 semester hours of coursework from the restricted electives list below.
      Not resolved to a course
      5

    Concentration in Omics

    concentration · 4 items
    1. 4
    2. 4
    3. 4
    4. Complete 2 semester hours of coursework from the restricted electives or additional electives lists below.
      Not resolved to a course
      2

    Electives Option

    electives · 2 items
    1. Complete 10 hours from the restricted electives list below.
      Not resolved to a course
      10
    2. Complete 4 semester hours of coursework from the restricted electives or additional electives lists below.
      Not resolved to a course
      4

    Restricted Electives

    electives · 55 items
    1. 3
    2. 4
    3. 4
    4. 4
    5. 1
    6. 4
    7. 4
    8. 4
    9. 4
    10. 4
    11. 4
    12. 3
    13. 1
    14. 2
    15. 3
    16. 3
    17. 3
    18. 3
    19. 3
    20. 4
    21. 4
    22. 4
    23. 4
    24. 4
    25. 4
    26. 4
    27. 4
    28. 4
    29. 4
    30. 4
    31. 4
    32. 4
    33. 4
    34. 4
    35. 4
    36. 4
    37. 4
    38. 4
    39. 4
    40. 4
    41. 4
    42. 4
    43. 3
    44. 4
    45. 4
    46. 4
    47. MATH 7207
      Algorithms for Optimization
      Not resolved to a course
    48. As published: “Machine Learning and Statistical Learning Theory 1”
      1
    49. As published: “Machine Learning and Statistical Learning Theory 2”
      2
    50. 4
    51. NNMD 5310
      Bioethics in the Age of Artificial Intelligence
      Not resolved to a course
    52. PHSC 5905
      Artificial Intelligence and Machine Learning in Drug Discovery: Concepts and Applications
      Not resolved to a course
    53. 2

    Additional Electives

    electives · 0 items

      Electives outside this list may be chosen in consultation with faculty advisor:

      electives · 44 items
      1. 4
      2. 4
      3. 1
      4. 4
      5. 4
      6. 4
      7. 4
      8. 4
      9. 4
      10. 4
      11. 4
      12. 4
      13. 3
      14. 3
      15. 3
      16. 3
      17. 3
      18. 3
      19. 3
      20. 2
      21. 3
      22. 3
      23. 1-4
      24. 3
      25. 3
      26. 4
      27. 4
      28. 4
      29. 4
      30. 3
      31. 3
      32. 3
      33. 4
      34. As published: “Numerical Analysis 1”
        1
      35. As published: “Numerical Analysis 2”
        2
      36. 4
      37. As published: “Probability 1”
        1
      38. As published: “Probability 2”
        2
      39. 4
      40. As published: “Network Science 1”
        1
      41. 4
      Source. Northeastern University, catalog 2026-2027 — https://catalog.northeastern.edu/graduate/science/biology/bioinformatics-ms/. Captured page pages/0296.html.gz. Assembled from the institution's published catalog as captured; every record names its captured page and source URL. Assembled, not asserted.