Overview

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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Course Structure

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:

 

CourseCourse nameCredits
MATH 1910Single Variable Calculus I4
MATH 1920Single Variable Calculus II4
MATH 2610Linear Algebra I3
STAT 1910Introduction to Statistics3
CS 1910Computer Science I3
ENG 1010Academic Writing3
IKE 1040Indigenous Teachings of Turtle Island3
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. 

Co-operative Education
Combining classroom studies with practical work experience

A student works on an iPad

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.

Specializations

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 Core23
AMS 1910 - Introduction to Data Science3
CS 1920 - Computer Science II3
AMS 2910 - Design Thinking with Data3
STAT 2240 - Applied Regression Analysis3
STAT 2910 - Probability and Mathematical Statistics I3
STAT 3660 - High-Dimensional Data Analytics3
AMS 4910 - Analytics Capstone3
MCS 4210 - Professional Communication and Practice3
General electives58
Specialized Courses 
CS 2910 - Computer Science III3
CS 2920 - Data Structures and Algorithms3
CS 3710 - Database Systems3
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 Core23
AMS 1910 - Introduction to Data Science3
CS 1920 - Computer Science II3
AMS 2910 - Design Thinking with Data3
STAT 2240 - Applied Regression Analysis3
STAT 2910 - Probability and Mathematical Statistics I3
STAT 3660 - High-Dimensional Data Analytics3
AMS 4910 - Analytics Capstone3
MCS 4210 - Professional Communication and Practice3
One SMCS elective at the 3000-level or higher3
General electives52
Specialized Courses 
ACCT 1010 - Introduction to Financial Accounting3
BUS 1410 - Marketing3
BUS 1710 - Organizational Behaviour3
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 higher3
Total Semester Hours of Credit      120
Admissions Criteria
What's required for Science admission?

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.

Fees and Funding
Faculty of Science Programs Tuition

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.

for complete information.

Faculty Members
Meet your professors and instructors

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

 

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