Degree Pathway for the Data Science Option

For students who entered fall 2025 and beyond.

Freshman Year

Fall Semester

Course NumberCourse NameCredits
ENGL.1010 /
HONR.1100
College Writing I /
First Year Seminar in Honors: Text in the City (CW)
3
DATA.1010
DATA.1010L
OR
COMP.1010 
COMP.1030L
Data Structures in Python I
Programming Lab I
OR
Computing I 
Computing I Lab
4
MATH.1310Calculus I (MATH)4
xxxx.xxxxSocial Sciences Perspective (SS)13
Total14

Spring Semester

Course NumberCourse NameCredits
ENGL.1020College Writing II (CW)3
DATA.1020
DATA.1020L
OR
COMP.1020
COMP.1040L
Data Structures in Python II
Programming Lab II
OR
Computing II
Computing II Lab
4
MATH.1320Calculus II4
xxxx.xxxxArts and Humanities Perspective (AH)13
Total14

Sophomore Year

Fall Semester

Course NumberCourse NameCredits
DATA.2010Data Science with R Programming3
DATA.2251Data Management with SQL3
MATH.2190Discrete Structures I3
xxxx.xxxxNatural Science Elective (SCL)24
xxxx.xxxxSocial Sciences Perspective (SS)13
Total16

Spring Semester

Course NumberCourse NameCredits
DATA.2101Linear Algebra with Computers4
DATA.2051Data Visualization3
MATH.3850Applied Statistics3
xxxx.xxxxArts and Humanities Perspective (AH)13
xxxx.xxxxFree Elective33
Total16

Junior Year

Fall Semester

Course NumberCourse NameCredits
DATA.2012Data Science Studio (IL)4
DATA.3210Data Mining (QL)3
MATH.3860Probability and Statistics I (STEM)3
xxxx.xxxxSocial Sciences Perspective (SS)13
xxxx.xxxxTechnical Elective43
Total16

Spring Semester

Course NumberCourse NameCredits
DATA.3102Data Modeling and Statistical Inference (CTPS)3
DATA.3220Applied Machine Learning3
xxxx.xxxxDomain Application Elective53
xxxx.xxxxNatural Science Elective (SCL)24
xxxx.xxxxArts and Humanities Perspective (AH)13
Total16

Senior Year

Fall Semester

Course NumberCourse NameCredits
DATA.3221Deep Learning3
xxxx.xxxxProject Pair Course 163
xxxx.xxxxDomain Application Elective53
xxxx.xxxxNatural Science Elective24
xxxx.xxxxFree Elective33
Total16

Spring Semester

Course NumberCourse NameCredits
DATA.4900Capstone Project (AIL), (WOC)6
xxxx.xxxxProject Pair Course 263
xxxx.xxxxTechnical Elective43
Total12

Total Minimum Credits = 120

Minimum [major] Credits: 49 (DATA and COMP prefixes)

Maximum [major] credits that can be counted toward graduation: 60

1Core Curriculum:

  • No more than two Breadth of Knowledge (BOK) courses can be taken with the same prefix. The Core Curriculum courses may be taken in any sequence. Refer to the Core Curriculum policy for further details. You should meet with your faculty advisor to determine how you will meet the Core Curriculum requirements.
  • The Core Curriculum Essential Learning Outcomes for Diversity and Cultural Awareness (DCA) and Social Responsibility and Ethics (SRE) are fulfilled outside the Data Science major. See the DCA course listing and the SRE course listing for a full list of classes that fulfill these requirements.

2Natural Electives:

  • Natural Science Electives are courses offered by one of the four natural science departments in the College of Sciences: Biological Sciences, Chemistry, Environmental, Earth, and Atmospheric Sciences, Physics and Applied Physics.
  • Each course must include a 3-credit lecture accompanied by a 1-credit lab.
  • Courses that fulfill this requirement must be classified as required or elective courses for the majors in those departments.

3Free Electives:

  • Free Elective courses must not be below the level of any course specifically required by the Data Science major and cannot simultaneously be used to satisfy any other major or elective requirements.
  • A maximum of 60 credits of DATA and COMP courses can be counted towards the minimum 120 credits required to graduate.

4Technical Electives:

  • Technical Electives are courses offered by departments in the College of Sciences or the College of Engineering, provided they are not used to satisfy any other requirements and are not INFO courses.
  • Courses that fulfill this requirement must be classified as required or elective courses for the majors in those departments.
  • To use a DATA course as a Technical Elective, it must be at the 3000 or 4000-level.
  • To use COMP course as a Technical Elective, it must be at the 2000, 3000,4000, or 5000-level.
  • However, no more than 60 credits  of DATA and COMP courses can be counted towards the minimum 120 credits required to graduate.

5Domain Application Electives:

  • Domain Application Electives are data-driven courses offered by other departments for their majors, involving the analysis, processing, and management of data.
  • Students must select two courses (6 credits) from one of the approved domain areas.
  • There are two Domain Application areas:
    • Economics (select 2 courses)
    • Environmental Sciences (select 2 courses)
      • ENVI.3010 GIS in Earth and Environmental Science
      • ENVI.4970 Research: Environmental Studies
      • ATMO.4130 Regional Weather and Climate Modeling
      • ATMO.4200 Intro to Operational Numerical Weather Prediction
      • ATMO.4970 Research: Atmospheric Science

Note: Other Domain Application areas may be approved by the department.

6Project Pair Courses:

  • A Project Pair consists of two courses, which deepen a student’s knowledge in a specific area in Data/Computer Science.
  • The Project Pair is selected from the following list:

Note: Other combinations of courses from the pairs listed above may also be used to form a different project pair, subject to the approval of the Program Coordinator.

Current UMass Lowell students should use their Advisement Report in the Student Information System (SiS). If you need assistance, please contact your adviser.

Restriction on off-campus study:

Be advised that any course taken at another institution must be formally approved prior to enrollment. See the catalog policy for details.

Breadth of Knowledge (BOK) Glossary

  • SS - Social Sciences Perspective - 9 credits
  • AH - Arts and Humanities Perspective - 9 credits
  • SCL - Sciences with Lab Perspective - 6 credits
  • STEM - Science, Technology, Engineering and Math Perspective - 3 credits
  • CW - College Writing I and II - 6 credits
  • MATH - Math Perspective - 3 credits

Read more about the Breadth of Knowledge requirements.

Essential Learning Outcomes (ELO) Glossary

  • AIL - Applied and Integrative Learning
  • CTPS - Critical Thinking and Problem Solving
  • DCA - Diversity and Cultural Awareness
  • IL - Information Literacy
  • QL - Quantitative Literacy
  • SRE - Social Responsibility and Ethics
  • WOC - Written and Oral Communication

Read more about the Essential Learning Outcomes.