Ontario Secondary School Diploma (OSSD) or equivalent, including six Grade 12 U or M courses with a minimum overall average of 65%, or a mature applicant.
Required courses with minimum final grade of 65% in each:
English: Grade 12 ENG4U
Mathematics: any two Grade 12 U (MDM4U and MHF4U are recommended)
Mature applicants should disclose all previous postsecondary transcripts which may be used for admission decisions.
CAEL CE and CAEL online, Minimum 70 (Writing no less than 60)
Cambridge English Exams (B2 First/FCE, C1 Advanced/CAE or C2 Proficiency/CPE), Minimum 176 with no skill below 169
Duolingo, Minimum score 115 to 120
IELTS Academic, Minimum 6.5 with no skill below 6.0
PTE Academic, Minimum score 60
TOEFL iBT (including MyBest TOEFL and Home Edition), Minimum 84 with no skill below 21
TOEFL Revised Paper Delivered, No skill below 21
The Honours Bachelor of Data Science and Analytics program is the first-of-its-kind in Ontario. This four-year degree program was designed to meet the growing need for data-driven business solutions. You will learn to identify and interpret data using algorithms and acquire skills to draw meaningful conclusions. Your knowledge will be enhanced through theory and applied learning with the help of case studies, guest speakers and a co-op work experience. As a graduate of this program, you will be uniquely positioned to make an impact by combining solid business strategies with an in-depth knowledge of computer science, statistics and analytics.
Data Science and Analytics Webinar
Get an inside look at the labour market for data science jobs, and learn how Seneca’s new degree program will prepare you for a career in this revolutionary field of work.
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Semester 1
BDA100, Introduction to Data Science
BDM100, Discrete Mathematics
BDM150, Statistical Methods for Data Science
BDP100, Introduction to Programming
ENG106, Writing Strategies
Semester 2
BDA200, Security, Privacy and Ethics in Data Science
BDD200, Structured Database Design
BDM200, Mathematical Methods for Data Science
BDP200, Programming for Data Science
LSO440, Globalization in the 20th Century and Beyond
Semester 3
BDA300, Data Preparation
BDA350, Introduction to Algorithms and Analyzing Data
BDD300, Advanced Database Design
BDM300, Data Mining
plus: Liberal Studies Course
Semester 4
BDA420, High Performance Computing
BDA450, Simulation and Modelling
BDB400, Business Intelligence I
BDM400, Introduction to Data Visualization
LSP400, Presentation Skills
Semester 5
BDA500, Machine Learning
BDB500, Strategic Analysis and Evidence Based Decision-Making
BDM500, Predictive Analytics
BDM550, Text Mining
plus: Liberal Studies Course
Semester 6
BDA600, Social Media Analytics
BDB600, Business Intelligence II - Case Analysis
BDB650, Project Management
BDM600, Advanced Data Visualization
WTP200, Work Term Preparation
plus: Liberal Studies Course
Work-Integrated Learning Term
DSA771, Data Science Analytics, Co-op
Semester 7
BDA700, Health Analytics
BDB700, Risk Management
BDC700, Research Methods
plus: Professional Option Course
plus: Liberal Studies Course
Semester 8
BDA800, Business Analytics
BDA850, Intelligent Systems Analytics
BDC800, Capstone Project
plus: Professional Option Course
plus: Liberal Studies Course
Professional Options
Note: Not all professional options courses listed below will be offered in every term.
BAN210, Predictive Analytics
CIA620, Applications of Strategic Intelligence
CIA820, Anti Money Laundering and Counter Terrorism Financing
MRT481, Data Mining for Direct Marketing
SPR800, Security Audits
SRT411, Digital Data Analysis
As a graduate of this program, you may pursue future career options, such as:
Data Analyst
Business Intelligence Analyst
Big Data Engineer
Data Architect
Database Developer
Health Insurance $808CAD
