Data Science & Analytics Programs (BSc)

This program is offered through the Faculty of Mathematics and Science with participating academic units currently including the Department of Computer Science, the Department of Mathematics and Statistics and the Goodman School of Business Department of Finance, Operations, and Information Systems.

Program Director
Anteneh Ayanso

Academic Advisor
Janelle Montague

General Information

Administrative Assistants

Department of Computer Science
Brittani Allan
905-688-5550, extension 3513
MacKenzie Chown, J314

Department of Mathematics and Statistics
Alan Liu
905-688-5550, extension 3300
MacKenzie Chown, J415

Department of Finance, Operations, and Information System
Val DeSimone
905-688-5550, extension 4426
GSB 475D

The Bachelor of Science in Data Sciences and Analytics (Honours) program (https://brocku.ca/mathematics-science/data-science/) bridges the gap between computational data sciences and business analytics by forming well-rounded graduates with strong core knowledge and skills in programming for big data, data infrastructures, computational statistics, data mining, business analytics, and management of information systems; graduates with the ability of telling the story through state-of-the-art visualization and the communication of business intelligence to support strategic decisions. Students in the program will acquire advanced knowledge and skills in area of specialization chosen from Financial Analytics or Computational Sciences (including parallel computing, machine learning, artificial intelligence, computational statistics, cybersecurity, financial risk management, fintech, computational finance, etc.).

Students can be admitted into either of the honours or co-op option of the Concentration in Financial Analytics or the Concentration in Computational Data Sciences.

Re-Admission and Transfer Eligibility

The application form for re-admission or to transfer into BSc in Data Sciences and Analytics (Declare or Change of Major Application form) is available on the Office of the Registrar’s Forms and self-service page. The Declare or Change Major Application form to transfer into the BSc program must be completed and returned to the Office of the Registrar to be considered for admission to the program.

To be eligible to transfer from another university program into the BSc in Data Sciences and Analytics program, a student must meet the following minimum requirements:

► A minimum 70 percent in each transferred university level course in business, computer science, mathematics and statistics.

► A minimum 70 percent overall average.

► Meeting English language proficiency requirements.

To be eligible for transfer from a two or three-year diploma into the BSc in Data Sciences and Analytics program, a student must meet the following minimum requirements:

► A minimum of 80 percent overall average.

► Meeting English language proficiency requirements.

To be eligible for re-admission in the BSc in Data Sciences and Analytics program, a student must meet all of the following requirements:

► A minimum 65 percent grade in transferred university level courses in business, computer science, mathematics and statistics.

► A minimum 70 percent overall average.

► Completion of at least two and one-half credits required in the program.

Co-op Option

The Co-op option of the Data Sciences and Analytics B.Sc. program combines academic and work terms over a period of four and one-half academic years. Students spend four terms in an academic setting studying the fundamentals of data sciences prior to their first work placement. Successful completion of courses in the core areas of data sciences and analytics provides the necessary academic background for the work experience. In addition to the current fees for courses in academic study terms, Data Sciences and Analytics Co-op students are assessed an administrative fee for each work term (see the Schedule of Fees ).

Each four-month co-operative education work term must be registered. Once students are registered in a co-op work term, they are expected to fulfill their commitment. If the placement accepted is for more than one four-month work term, students are committed to complete all terms. Students may not withdraw from or terminate a work term without permission from the Director, Co-op Program Office.

The B.Sc. in Data Sciences and Analytics Co-op program designation will be awarded to those students who have honours standing and who have successfully completed a minimum of twelve months of Co-op work experience.

Program Notes

1. Students are admitted into one of the two initial concentrations of the program: the concentration in Computational Data Sciences specializes in the computer science and statistics of data sciences and analytics, while the concentration in Financial Analytics specializes in applications of data sciences to financial analytics. 
2. Students are encouraged to choose electives that broadens their knowledge and skills across disciplines. 
3. The core courses ECON 1P91  and ECON 1P92  count as one Social Sciences context credit. Each of the courses COSC 1P02  and COSC 1P50  counts as one-half Science context credit. 
4. In 20 credit degree programs, a maximum of eight credits may be numbered 1(alpha)00 to 1(alpha)99; at least three credits must be numbered 2(alpha)90 or above; at least three credits must be numbered 3(alpha)90 or above; and the remaining credits must be numbered 2(alpha)00 or above.
   
   In some circumstances, in order to meet university degree and program requirements, more than 20 credits may be taken.