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Business Analytics

Available at: Kingston

Overview

This program prepares graduates to work in the growing and dynamic field of business analytics. Students will learn the techniques and tools of analytical decision making and utilize these skills to drive the competitiveness of an organization. Students will be exposed to generic analytics modeling as well as specialization in the areas or marketing, operations, and business strategy. Students will also be introduced to machine learning and artificial intelligence concepts, and, how to implement supervised and unsupervised learning techniques to solve real world problems. Through applied learning techniques such as problem based learning and work placement students will be able to apply their learning to real world problems.

Business Analytics experts and Data Scientists are currently in high demand, especially with increasing possibilities of leveraging the high volume, velocity and variety of data available in today’s digital world to support business strategy, enhance customer experience, and, solve real life problems in real time. Graduates from this program have opportunities to work in various sectors, including IT, Retail, Banking, Finance, Insurance, Health, Education sectors.


Apply now at www.ontariocolleges.ca

Highlights

Program Name

Business Analytics

Program Code

0887

Credential

Ontario College Graduate Certificate

Start Dates

September
January

Program Duration

3 Semesters

Location (Campus)

Kingston

Canadian Fees

To view a detailed fee schedule, please click here. The fee schedule will open as a PDF in a new window.

International Fees

To view a detailed International fee schedule, please click here. The fee schedule will open as a PDF in a new window.

Additional Costs

Students will be required to have their own MS Windows Laptop for the program with the Microsoft Suite of applications and wireless access.

Scholarships and Bursaries

St. Lawrence College offers an extensive Student Scholarship and Bursary Program.  Scholarships and bursaries for this purpose are sponsored by external organizations and private individuals.  These awards recognize our academic excellence, community involvement, contribution to the quality of College life, outstanding achievement and professional potential.  For more details visit "Paying for College".

Program Outline 2019-20

Semester 1
MATH 5001 Quantitative Research Methods I
MATH 5002 Qualitative Research Methods I
ADMN 5002 Applied Management Science
ADMN 5003 Data Acquisition, Analysis and Modelling Techniques
ADMN 5004 Team and Project Management
COMM 5003 Business Writing and Communications
COMP 5003 Analytical Software Applications

Semester 2
ADMN 5005 Operations and Supply Chain Analytics
ADMN 5006 Financial Analytics
ADMN 5007 Marketing Analytics
MATH 5003 Quantitative Research Methods II
MATH 5004 Qualitative Research Methods II
ADMN 5008 Business Strategy

Semester 3
ADMN 5009 Marketing Analytics - Problem Based Learning
ADMN 5010 Operational Analytics - Problem Based Learning
ADMN 5011 Strategic Analytics - Problem Based Learning
ADMN 5012 Project Life Cycle Management and Communications
INTN 5001 Field Placement (6 weeks)

Articulation & Credit Transfer Opportunities

SLC graduates have many options to continue their studies with post-secondary institutions across Canada and around the world. Agreements between SLC and other institutions that are specific to this program are listed below. In addition, there are many credit transfer pathway agreements between colleges and universities within the province of Ontario. Please also visit www.ontransfer.ca to search for options relevant to your program area of study.



    Admission Requirements

    Two or three year College Diploma or a University Degree; Recommended: Statistics course from a College or University

    Prerequisites

    Health Requirements

    Testimonials

    The prioritization of creative problem solving through an assignment driven curriculum is what I feel benefited me the most from this program. Students received the building blocks for using machine learning, statistical tools and code and are then given the opportunity to iteratively solve business problems (real and simulated) to sharpen and build high demand technical and creative skills which employers are looking for.



    Mark Mathieu

    Program Contact

    Patrick Egbunonu
    pegbunonu@sl.on.ca

    Admissions Information

    Connect with a College Career Advisor:
    dreamit@sl.on.ca

    International Students Contact:
    international@sl.on.ca


    Additional Information

    Advanced Standing

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