Data Science (Collaborative Master's)
Data science is the next frontier of information technology but few universities offer programming in this area. Carleton’s new collaborative master’s in Data Science is geared at graduate students and high-tech professionals who are interested in understanding how to analyze and use ‘big data’ sets collected by governments, industry, NGOs etc. for purposes such as generating personal recommendations for online shopping, improving the efficiency of health care delivery or predicting national security threats.
Students will earn their degree in one of six academic disciplines at Carleton with a specialization in data science (or an MBA concentration in business analytics) through research or coursework that addresses a data science challenge.
Working with its partners, Carleton University will become a national hub for data science research and training, educating a highly skilled workforce for local, national and international communities, and creating the next generation of IT leaders. Carleton’s location in Ottawa and long relationship with the city’s technology sector is positioned well to create a highly educated workforce of data science specialists.
Click here to read more about big data research at Carleton.
Applicants wishing to apply to the collaborative master’s program in Data Science must indicate this in their application(s) to the participating program(s). You will be required to complete the Data Science Specialization Form available in the online application of the participating master’s program and this must be uploaded as part of your main application. The form will require you to indicate the reasons why you are interested in this collaboration.
The Data Science Specialization Form must be submitted by the application deadline of the participating master’s program.
Note: applicants applying to the MBA program must indicate their interest in this collaboration by selecting Business Analytics on the MBA Complement Form.
*These programs are part of the joint institutes with the University of Ottawa
At Carleton, more than 130 researchers are working on projects involving ‘big data’. Examples include:
- DNA and molecular modelling data
- Data from the Confederation Bridge
- Cloud computing
- Information retrieval and web information access
- Natural language processing
- Artificial intelligence
- Database and information integration
- Business analytics in marketing, finance, human resources and operations
- Sensor data analytics
- Patient monitoring
Carleton’s location in Ottawa and long relationship with the city’s tech sector is positioned well to create a highly educated workforce of data science specialists.