Bachelor of Analytics
School of Mathematical and Computational Sciences, Faculty of Science
OVERVIEW
Analytics is situated at the confluence of statistics, computer science, and mathematics, all centered on finding, interpreting, and presenting meaningful patterns in data. UPEI’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.
Course structure
Note: Current UPEI students should refer to Student Planning in myUPEI and the UPEI 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 (new for students beginning or returning after re-application in Fall 2022); one of UPEI-1010, UPEI-1020, or UPEI-1030, 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 | Credit Hours |
| MATH 1910 | Single Variable Calculus I | 4 |
| MATH 1920 | Single Variable Calculus II | 4 |
| MATH 2610 | Linear Algebra I | 3 |
| STAT 1910 | Intro to Probability and Statistics | 3 |
| CS 1910 | Computer Science I | 3 |
| CS 1920 | Computer Science II | 3 |
| One of: UPEI 1010 UPEI 1020 UPEI 1030 |
Writing Studies Inquiry Studies University Studies |
3 |
| Total Semester Hours of Credit |
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. Of these 15 semester hours of credit, at least six 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.
Co-operative Education
Combining classroom studies with practical work experience
The UPEI Co-op Program is an integrated approach to university education that 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 can 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, which are normally 14 weeks in 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 the first year of study. MCS students must complete 126 semester hours of credit to graduate with the Co-op designation.
Visit the Co-operative Education Program website for more information.
Specializations
Note: Current UPEI students should refer to Student Planning in myUPEI and the UPEI 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 specializing in either Data Analytics or Business Analytics, with co-operative education options available in both specializations.
Specialization in Data Analytics
The Major in Analytics with a specialization in Data Analytics requires a total of 120 semester hours of credit, as described below:
| Course Name | Credit Hours |
| The Common Core | 23 |
| MATH 2910 - Multivariable and Vector Calculus | 4 |
| MATH 2620 - Linear Algebra II | 3 |
| MATH 2720 - Mathematical Reasoning | 3 |
| At least one of: MCS 2010 - MAPLE Technology Lab MCS 2020 - Matlab Technology Lab OR MCS 2030 - R Technology Lab |
1 |
| MATH 2420 - Combinatorics I | 3 |
| MATH 3430 - Combinatorics II | 3 |
| AMS 2940 - Optimization | 3 |
| AMS 3770 - Combinatorial Optimization | 3 |
| AMS 3910 - Mathematical Modelling | 3 |
| MATH 3010 - Differential Equations | 3 |
| MATH 3610 - Group Theory | 3 |
| STAT 2910 - Probability and Mathematical Statistics I | 3 |
| STAT 3910 - Probability and Mathematical Statistics II | 3 |
| STAT 3240 - Applied Regression Analysis | 3 |
| STAT 4550 - Data Analysis and Inference | 3 |
| STAT 4660 - Data Visualization and Mining | 3 |
| CS 2920 - Data Structures and Algorithms | 3 |
| CS-2910 - Computer Science III | 3 |
| CS 3710 - Database Systems | 3 |
| CS 3610 - Analysis and Design of Algorithms | 3 |
| CS 4120 - Machine Learning | 3 |
| CS 4440 - Data Science | 3 |
| Two electives in Mathematical and Computational Sciences (at the 2000 level or higher) | 6 |
| MCS 3050 - Tutoring in Mathematical and Computational Sciences | 1 |
| MCS 4210 - Professional Communication and Practice | 3 |
| Additional general electives: | 22 |
| Total Semester Hours of Credit |
Specialization in Business Analytics
The Major in Analytics with a specialization in Business Analytics requires a total of 120 semester hours of credit, as described below:
| Course Name | Credit Hours |
| The Common Core | 23 |
| MATH 2910 - Multivariable and Vector Calculus | 4 |
| MATH 2620 - Linear Algebra II | 3 |
| MATH 2720 - Mathematical Reasoning | 3 |
| At least one of: MCS 2010 - MAPLE Technology Lab MCS 2020 - Matlab Technology Lab OR MCS 2030 - R Technology Lab |
1 |
| MATH 2420 - Combinatorics I | 3 |
| MATH 3430 - Combinatorics II | 3 |
| AMS 2940 - Optimization | 3 |
| AMS 3770 - Combinatorial Optimization | 3 |
| AMS 3910 - Mathematical Modelling | 3 |
| MATH 3010 - Differential Equations | 3 |
| STAT 2910 - Probability and Mathematical Statistics I | 3 |
| STAT 3910 - Probability and Mathematical Statistics II | 3 |
| STAT 3240 - Applied Regression Analysis | 3 |
| STAT 4660 - Data Visualization and Mining | 3 |
| Two electives in Mathematical and Computational Sciences (at the 3000 level or higher) | 6 |
| CS 2920 - Data Structures and Algorithms | 3 |
| CS-2910 - Computer Science III | 3 |
| CS 3710 - Database Systems | 3 |
| ACCT 1010 - Introduction to Financial Accounting | 3 |
| BUS 1410 - Marketing | 3 |
| BUS 1710 - Organizational Behaviour | 3 |
| At least five of: ACCT 2210 - Managerial Accounting BUS 2310 - Corporate Finance BUS 2510 - Introduction to Management Science BUS 2650 - Introduction to Entrepreneurship and Small Business Management BUS 2720 - Human Resource Management BUS 2880 - Research and Evidence-Based Management BUS 3010 - Business Law - Part I BUS 3330 - Integrated Cases in Corporate Finance BUS 3340 - Personal Finance BUS 3430 - Integrated Cases in Marketing BUS 3510 - Operations Management BUS 3710 - Entrepreneurship and New Ventures BUS 4650 - Project Management BUS 4850 - Developing Management Skills |
15 |
| MCS 3050 - Tutoring in Mathematical and Computational Sciences | 1 |
| MCS 4210 - Professional Communication and Practice | 3 |
| Additional general electives: | 13 |
| Total Semester Hours of Credit |
Admission Criteria
What's required for Science admission?
High School Graduates
Canadian High School Equivalency Chart
- 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 refer to the UPEI Academic Calendar for complete admissions information.
fees and funding
Analytics Tuition
UPEI Cairo Campus supports students and their educational goals by offering a number of scholarships based on merit. Scholarships are offered to students with special qualifications such as academic, athletic, or artistic talents.
Visit Scholarship Criteria page for more information.