Analytics is situated at the confluence of statistics, computer science and mathematics all centred on finding, interpreting and presenting meaningful patterns in data. 17³Ô¹Ï's Bachelor of Science in Analytics program offers degree specializations in either Data Analytics or Business Analytics, with co-operative education options available in both specializations. As data increasingly pervades our lives, graduates in Analytics are in high demand across a broad spectrum of fields including government, business and technology.
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Note: Current 17³Ô¹Ï students should refer to Student Planning in my17³Ô¹Ï and the 17³Ô¹Ï Academic Calendar governing their entry year, and speak to an academic advisor about course requirements. The course structure presented for this program is a recommended, unofficial progression for prospective students.
Note: As per Academic Regulation 1h, all undergraduate degree programs require successful completion of IKE-1040 and a Writing Intensive Course.
Common Core
All degree programs in the School of Mathematical and Computational Sciences are built on a common core of courses that should be completed in the first two years of study. This common core consists of the following courses:
| Course | Course name | Credits |
|---|---|---|
| MATH 1910 | Single Variable Calculus I | 4 |
| MATH 1920 | Single Variable Calculus II | 4 |
| MATH 2610 | Linear Algebra I | 3 |
| STAT 1910 | Introduction to Statistics | 3 |
| CS 1910 | Computer Science I | 3 |
| ENG 1010 | Academic Writing | 3 |
| IKE 1040 | Indigenous Teachings of Turtle Island | 3 |
| Total Semester Hours of Credit | 23 |
Common Breadth Requirement
Students must take at least 15 semester hours of credit beyond the core course requirement in courses outside the School of Mathematical and Computational Sciences, and of these 15 semester hours of credit at least 6 must be from outside the Faculty of Science.
Common Advanced Courses
Students in all degree programs in the School of Mathematical and Computational Sciences must complete MCS 4210 Professional Communication and Practice (writing-intensive) and MCS 3050 Tutoring in Mathematical and Computational Sciences.

The 17³Ô¹Ï Co-op Program is an integrated approach to university education which enables students to alternate academic terms on campus with work terms in suitable employment. The success of such programs is founded on the principle that students are able to apply theoretical knowledge from course studies in the workplace and return to the classroom with practical workplace experience. Students who successfully complete all the requirements of the program will have the notation entered on their transcripts and on the graduation parchment.
Students accepted into the program complete at least three paid work terms of normally 14 weeks duration, and three professional development courses. Credits earned through completion of work terms are counted as general electives.
The Co-op option is available to full-time students in any MCS Major or Honours program. Applications to the Co-op Education Program are normally made after completion of the first year of study. MCS students must complete 126 semester hours of credit in order to graduate with the Co-op designation.
Visit the Co-operative Education Program website for more information.
Note: Current 17³Ô¹Ï students should refer to Student Planning in my17³Ô¹Ï and the 17³Ô¹Ï Academic Calendar governing their entry year, and speak to an academic advisor about course requirements. The course structure presented for this program is a recommended, unofficial progression for prospective students.
We offer a Bachelor of Science in Analytics with specialization in either Data Analytics or Business Analytics, with co-operative education options available in both specializations.
Requirements for a Major in Analytics (Specialization in Software and Systems)
| Credits | |
| The Common Core | 23 |
| AMS 1910 - Introduction to Data Science | 3 |
| CS 1920 - Computer Science II | 3 |
| AMS 2910 - Design Thinking with Data | 3 |
| STAT 2240 - Applied Regression Analysis | 3 |
| STAT 2910 - Probability and Mathematical Statistics I | 3 |
| STAT 3660 - High-Dimensional Data Analytics | 3 |
| AMS 4910 - Analytics Capstone | 3 |
| MCS 4210 - Professional Communication and Practice | 3 |
| General electives | 58 |
| Specialized Courses | |
| CS 2910 - Computer Science III | 3 |
| CS 2920 - Data Structures and Algorithms | 3 |
| CS 3710 - Database Systems | 3 |
| Two of: CS 3210 - User Experience Design CS 3610 - Analysis, Design of Algorithms CS 3620 - Software Design Architecture CS 4120 - Machine Learning CS 4140 - Deep Learning CS 4440 - Data Science | 6 |
| Total Semester Hours of Credit | 120 |
Requirements for a Major in Analytics (Specialization in Business Analytics)
| Credits | |
| The Common Core | 23 |
| AMS 1910 - Introduction to Data Science | 3 |
| CS 1920 - Computer Science II | 3 |
| AMS 2910 - Design Thinking with Data | 3 |
| STAT 2240 - Applied Regression Analysis | 3 |
| STAT 2910 - Probability and Mathematical Statistics I | 3 |
| STAT 3660 - High-Dimensional Data Analytics | 3 |
| AMS 4910 - Analytics Capstone | 3 |
| MCS 4210 - Professional Communication and Practice | 3 |
| One SMCS elective at the 3000-level or higher | 3 |
| General electives | 52 |
| Specialized Courses | |
| ACCT 1010 - Introduction to Financial Accounting | 3 |
| BUS 1410 - Marketing | 3 |
| BUS 1710 - Organizational Behaviour | 3 |
| One of: BUS 2310 - Corporate Finance BUS 2880 - Research and Evidence-Based Management BUS 2720 - Human Resource Management | 3 |
| One of: BUS 3340 - Personal Finance BUS 3510 - Operations Management UNIV 3100 - Entrepreneurship Venture Development UNIV 3200 - Entrepreneurship Venture Implementation CS 3840 - Tech Management, Entrepreneurship | 3 |
| One Business elective at the 3000-level or higher | 3 |
| Total Semester Hours of Credit | 120 |
High School Graduates
- Grade 12 Academic English
- Grade 12 Academic Mathematics
- Two Grade 12 Academic Science subjects (acceptable subjects: Chemistry, Biology, Physics, Computer Science, Oceanography, Animal Science, Environmental Science)
- One additional Grade 12 Academic course
Please note: Successful completion of Grade 12 Chemistry (or equivalent) is required as a prerequisite for permission to register in CHEM-1110.
Please for complete admissions information.
17³Ô¹Ï's undergraduate tuition is the second-lowest in the Atlantic region, and we offer millions of dollars in scholarships and awards.
Tuition
$7,630 per year, based on 30 credit hours ($763 per 3 credit course).
International students pay $9,040 per year in addition to full-time student tuition.
For a complete breakdown of part-time or full-time study as a student in the Faculty of Science, visit our .
Scholarships and Awards
17³Ô¹Ï supports you and your educational goals. We administer millions of dollars in scholarships and awards to our undergraduate and graduate students every year. Depending on your faculty or program, and year of study, you may be eligible for available awards.
Search the complete list of scholarships for information and application forms.
Celebrating Student Achievement
Including Guaranteed Entrance Scholarships and Academic Excellence Awards, these awards recognize the academic achievements of all students who meet the eligibility criteria while studying towards their first undergraduate degree.
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17³Ô¹Ï's interesting and unique programs are enhanced by our caring and supporting faculty, instructors, and staff.
School of Mathematical and Computational Sciences faculty and staff