Businesses know that their data is an asset. Companies such as Amazon, Google, Facebook, and Twitter have led the way in using organizational data to drive innovation and business results. New tools have been developed to help organizations discover value in their data. A new discipline – which goes by several names including Business Analytics, Data Science, Big Data or Data Analytics – has emerged as one of the fastest growing fields.
The Sprott MBA concentration in Business Analytics empowers students to use data to enhance decision making. At Sprott, we have the knowledge, skills and tools to help discover the potential in organizational data. Researchers at Sprott work on business analytics applications in finance, marketing, human resources, production and operations management.
The MBA concentration in Business Analytics is part of Carleton University’s Collaborative Master’s in Data Science. Students following this concentration will take specialized courses on data analysis using statistical methods, have access to new tools, and will have the opportunity to engage with students in other disciplines to enhance their understanding of analytics.
Business analytics has become one of the most sought after skills in the technology field. The number of opportunities has grown exponentially in recent years.
In addition to the regular admission requirements for the MBA program, general quantitative ability, as demonstrated by grades in related courses, based on university transcripts, will be considered.
Space in this concentration is limited and the admission process is competitive.
NOTE: The Web edition of the Carleton University Graduate Calendar is the University’s official statement. Not all courses listed are offered in a given year. For an up-to-date statement of course offerings for the current session and to determine the term of offering, consult the class schedule at central.carleton.ca
Compulsory core courses (4.25 credits)
View list of Sprott MBA core courses.
Concentration courses (2.25 credits)
Required concentration courses (1.75 credits)
|Course Code||Course title||Credit|
|DATA 5000||Data Science Seminar
Data Science is at the core of business analytics and numerous other domains from social network analysis to healthcare. Topics include cloud based distributed systems, statistics, machine learning, use of complex ecosystems of tools and platforms, and communication skills to explain advanced analytics. Students choose a project in Big Data management and/or analysis, are expected to deliver a paper and will give a class presentation on their findings.
|ITIS 5431||Business Analytics for Managers
Decision support systems in organizations; moving from business intelligence to business analytics; big data trends in organizations; theories and trends in data analytics. Prerequisite: ITIS 5401 or permission of the School of Business
|ITIS 5432||Business Analytics Methods
Tools for data analytics; analyzing data beyond statistics; data mining and predictive modeling; time series analysis and forecasting; neural networks algorithms in business analytics. Prerequisites: ITIS 5431 and BUSI 5801 (or equivalent)
|ACCT 5012||Performance Measurement and Control||0.25|
|TOMS 5303||Managing Projects||0.25|
Elective Concentration Courses (0.50 credits) from:
|Course Code||Course title||Credit|
|BUSI 6901||Statistics for Business Research||0.50|
|BUSI 6905||Advanced Statistical Methods for Business Research||0.50|
|ECON 5027||Econometrics I||0.50|
|ECON 5055||Financial Econometrics||0.50|
|STAT 5602||Analysis of Categorical Data||0.50|
|STAT 5702||Modern Applied and Computational Statistics||0.50|
|STAT 5703||Data Mining||0.50|
Elective courses (1.0 credit)
Electives can be selected from:
- courses in other concentrations or
- from the following list of additional electives in the calendar:
|Course Code||Course Title||Credit|
|BUSI 5106||Business Case Analysis and Presentations||0.25|
|BUSI 5108||Sustainable Business Development||0.25|
|BUSI 5906||Special Topics – (see below)||0.25|
|FINA 5515||Micro Finance||0.50|
|ITIS 5403||ICT for Development||0.25|
MBA Internship (1.0 credit)
Students who have less than two years of professional work experience must successfully complete the MBA Internship Program as a graduation requirement.
|Course code||Course title||Credit|