Fall 2026 – Winter 2032 Degree Plan

B.Sc. Major, Data Science — University of Manitoba — Part-time (2 courses Fall, 2 Winter, 1 Summer)

Summary

• 36 of 120 required credits complete as of the 07/15/2026 audit — 84 credits (28 course-equivalents) remaining.
• At this pace (15 cr/yr), estimated completion: Winter 2032 (17 terms).
• Course offering terms (which term each course actually runs) have not been checked against Aurora — verify before each registration.
• Plan assumes no repeated courses, no missed terms, and courses run when needed.

Term-by-term plan

Term	Courses	Cr	Notes
Fall 2026	COMP 2140 – Data Structures: Analysis & Implementation; DATA 2010 – Tools & Techniques for Data Science	6	Confirmed. COMP 2140 is a pre/co-req for DATA 2010 — taking together is the standard path.
Winter 2027	COMP 2400 – Programming Paradigms; COMP 2450 – Software Development 1	6
Summer 2027	DATA 3010 – Data Science with Real-World Data Sets	3
Fall 2027	COMP 2452 – Software Development 2; STAT 2400 – Introduction to Probability 1	6
Winter 2028	COMP 3380 – Databases: Concepts & Usage; MATH 2720 – Multivariable Calculus	6	MATH 2720 chosen over MATH 2150 — same requirement slot, but skips the extra MATH 2080 prerequisite MATH 2150 would need.
Summer 2028	MATH 2740 – Mathematics of Data Science	3
Fall 2028	STAT 3100 – Introduction to Statistical Inference; STAT 3150 – Statistical Computing	6
Winter 2029	STAT 3450 – Linear Models; COMP 4360 – Machine Learning	6	COMP 4360 qualifies via the Data Science route (STAT 2400 + MATH 2740 + DATA 2010), no COMP 3xxx AI prereqs needed.
Summer 2029	MATH 4490 – Optimization	3
Fall 2029	COMP 2080 – Algorithms: Design & Implementation; MATH 2090 – Linear Algebra 2	6	Both are the easiest picks from their elective pools — no extra prerequisites beyond what’s already done.
Winter 2030	STAT 2800 – Introduction to Probability 2; Elective 1 – Written-English-attribute Arts course	6
Summer 2030	Elective 2 – Faculty of Arts course	3	Completes the 6-cr Faculty of Arts requirement alongside Elective 1.
Fall 2030	Elective 3 – Open elective; Elective 4 – Open elective	6
Winter 2031	Elective 5 – Open elective; Elective 6 – Open elective	6
Summer 2031	Elective 7 – Open elective	3
Fall 2031	DATA 4010 – Data Science Capstone Project	6	Taken alone — 6 cr, final-year/Data Science Major restricted, needs instructor permission. Don’t pair with another course this term.
Winter 2032	Elective 8 – Open elective	3	Final requirement — degree complete.

Key sequencing notes

• MATH 2720 over MATH 2150: same requirement slot in the major, but MATH 2150 needs MATH 2080 as a prerequisite first — MATH 2720 doesn’t, so it’s the shorter path.
• COMP 4360 (Machine Learning): qualifies through the Data Science prerequisite route (STAT 2400 + MATH 2740 + DATA 2010) rather than the COMP 3190/3360 AI-course chain, which isn’t otherwise on this path.
• DATA 4010 (Capstone, 6 cr): restricted to Data Science majors in their final year and requires instructor permission — placed alone in its term rather than paired with another course.
• Written English + Faculty of Arts: picking an Arts course that also carries the Written English (W) attribute lets one 3-cr course satisfy both requirements, cutting the elective load by one course.
• Electives 3–8 are unassigned placeholders — swap in specific courses once picked, keeping the 12-cr minimum of 3000/4000-level Science credits in mind (already exceeded by the required major courses above).