Master of Science in Management | Project-route
DURATION
20 up to 40 Months
LANGUAGES
English
PACE
Full time, Part time
APPLICATION DEADLINE
Request application deadline
EARLIEST START DATE
Sep 2024
TUITION FEES
CAD 2,093 / per course *
STUDY FORMAT
On-Campus
* for International Students | 983 CAD for Domestic Students | Additional fees may apply
Introduction
The program is offered by the AACSB-accredited Dhillon School of Business, and it is designed for students with an undergraduate degree, or significant professional experience, in Management, Commerce, Business or a related discipline. Previous work experience is not required for admission.
The program offers students the flexibility to choose between two pathways:
- Thesis option (research project and coursework, co-op is optional), and
- Project option (experiential learning project and coursework, co-op is optional).
In both pathways, students will learn analytical skills to make data-driven decisions and draw meaningful conclusions. Both pathways sharpened the student's critical thinking skills by critically evaluating organizational problems and practices, and proposing novel solutions and ideas.
Majors
- Accounting (MSc (Mgt))
- Finance (MSc (Mgt))
- Human Resource Management and Labour Relations (MSc (Mgt))
- International Management (MSc (Mgt))
- Marketing (MSc (Mgt))
- Policy and Strategy (MSc (Mgt))
Project Pathway: Business Analytics Concentration (BANA)
The Dhillon School of Business offers Business Analytics (BANA) as the experiential project-based pathway within the MSc in Management program.
Business analytics professionals made use of statistical analysis, data mining, predictive modeling, and other analytical methods to uncover patterns, relationships, and trends within the data. By applying different analytical techniques business analytics professionals help organizations make informed decisions, and drive business performance. Business analytics is one of the most sought-after careers worldwide, and demand is projected to grow rapidly.
BANA students undertake an applied, experiential project that involves applying analytics principles, tools, and methods to a real-world business or non-profit initiative or problem. The project emphasizes the practical application of data science techniques within the student's chosen major, with a particular focus on interpreting and effectively utilizing analytics findings. While data programming is not the primary focus, the project will emphasize the analytical application of data science techniques and the meaningful interpretation of the results.
The BANA pathway can be completed in 16 months on a full-time basis.
Curriculum
The program is divided into four modules delivered over two years. The first module (Fall term) offers a two-day orientation for students entering the program. Orientation activities include building and campus tours, information technology set-up, meetings with instructors and potential supervisors, and workshops/meetings to assist with getting started in the MSc (Mgt) program.
During the second module (Fall term), students begin the process of integrating research methodologies and theories relevant to various management fields. In the third module (Spring term), students specialize in their area of interest and begin to develop their research proposals in more depth. In the fourth and final module, students present their Master’s Thesis proposals and then conduct and defend their Master’s Thesis work in an oral examination.
Students may complete their degrees on either a full-time or part-time basis at our main campus in Lethbridge and our campus in Calgary. Note: some BANA courses are available on the Lethbridge Campus only.
Common core courses (9.0 credit hours)
- Management 5100 - Orientation, Research, and Skill Development (0.0 credit hours)
- Management 5150 - Research Methods in Management (3.0 credit hours)
- Management 5170 - Data Management and Statistical Techniques I (1.5 credit hours)
- Management 5200 - Major Seminar I (series) (3.0 credit hours)
- Business Analytics 5000 - Overview of Business Analytics (1.5 credit hours)
Business Analytics project pathway required courses (15.0 credit hours)
- Business Analytics 5001 - Introduction to Business Analytics Methods (1.5 credit hours)
- Business Analytics 5007 - Communicating Analytics Findings (1.5 credit hours)
- Business Analytics 5009 - Introduction to Consulting (1.5 credit hours)
- Business Analytics 5010/Data Science 5010 - Introduction to Data Science and Analytics in Python I (3.0 credit hours)
- Business Analytics 5020/Data Science 5020 - Data Visualization (1.5 credit hours)
- Business Analytics 5050/Data Science 5050 - Data Wrangling (1.5 credit hours)
- Business Analytics 5110/Data Science 5110 - Introduction to Data Science and Analytics in Python II (3.0 credit hours)
- Business Analytics 5140/Data Science 5140 - Data Management (1.5 credit hours)
An additional 6.0 credit hours are required from the following courses:
- Business Analytics 5002 - Predictive Business Analytics I (1.5 credit hours)
- Business Analytics 5003 - Predictive Business Analytics II (1.5 credit hours)
- Business Analytics 5004 - Business Decision Analytics (1.5 credit hours)
- Business Analytics 5005 - Time Series Models and Forecasting for Business (1.5 credit hours)
- Business Analytics 5006 - Text Analytics for Business (1.5 credit hours)
- Business Analytics 5008 - Big Data Analytics (1.5 credit hours)
- Culminating activity: Business Analytics 6100 - Business Analytics Experiential Project (6.0 credit hours)
Individual workspace
All MSc (Mgt) students are provided with:
- A secure work-space
- Access to technically advanced audiovisual equipment, and network printers
- Access to up-to-date software (e.g., Microsoft Office), and databases needed for study and research work
- Email account
- Internet connection on campus
Students must have their own laptop for in-class use.
Co-operative Education
Co-operative Education is an educational model that formally integrates academic study with relevant, paid work experience in appropriate employment fields such as government, public research institutions, and private industry. The program works to create a partnership between students, the university, and the employer, offering students an extended learning environment and the opportunity to develop a professional network.
Cooperative education is available to students for the Master of Arts (MA) and Master of Science (MSc) programs within the Faculty of Arts and Science and the Dhillon School of Business.
Admissions
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Program Tuition Fee
Scholarships and Funding
uLethbridge awards a number of internal and external scholarships, awards and bursaries. We also encourage you to utilize additional resources for award applicants, including other funding databases.
We have an admission award called the Univ. of Lethbridge Graduate Research Award (ULGRA) for which every student admitted to a full-time graduate program is considered. Please note that admission into a program is not a guarantee you’ll receive award funding. This admission award has no application and you will be assessed at the time you apply for admission. You can review the guidelines for ULGRA here.
Additionally, you will be considered for Graduate Assistantships work at the time of admission and your supervisor may be able to offer you a Research Assistantship or stipend (ask your supervisor about that possibility).
The Graduate Awards website lists many upcoming funding opportunities. Each entry provides key information about the funding opportunity, including the application deadline and information on how to apply