{"id":50711,"date":"2025-07-03T10:36:41","date_gmt":"2025-07-03T14:36:41","guid":{"rendered":"https:\/\/carleton.ca\/economics\/?page_id=50711"},"modified":"2025-07-24T09:55:47","modified_gmt":"2025-07-24T13:55:47","slug":"b-econ-honours-concentration-in-economic-data-science","status":"publish","type":"page","link":"https:\/\/carleton.ca\/economics\/b-econ-honours-concentration-in-economic-data-science\/","title":{"rendered":"B.ECON Honours Concentration in Economic Data Science"},"content":{"rendered":"\n
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\n B.ECON Honours Concentration in Economic Data Science\n <\/h1>\n \n \n <\/header>\n\n <\/div>\n\n <\/div>\n\n <\/div>\n<\/section>\n\n\n\n

Concentration Description<\/h3>\n\n\n\n

The field of Economics offers a unique perspective for Data Science, based on its development and application of Econometric tools and analysis to problems framed through the lens of Economic theory. The B.Econ Honours Concentration in Economic Data Science provides students with unique training in the rapid-emerging and high-demand field of Data Science.<\/p>\n\n\n\n

While the B.Econ Honours Concentration in Economic Data Science includes foundation courses in computer coding and information technology, the overall emphasis is on providing students with training in general econometrics and the application of the latest statistical and econometric methods (e.g., machine learning) to economic questions involving both traditional and non-traditional datasets using Economic theory as a guide.<\/p>\n\n\n\n

Students looking to gain additional training in either computational methods or analysis may choose to combine the B.Econ Honours Concentration in Economic Data Science with the either B.Econ Honours Concentration in Computational Analysis<\/a> or B.Econ Honours Concentration in Advanced Economic Theory<\/a>. Either of these combinations will provide students with a strong and broad set of skills generally sought by the employers.<\/p>\n\n\n\n

General Elective Suggestions for First Year ECON Students<\/h3>\n\n\n\n

Important Information about Electives!<\/h4>\n\n\n\n

\u201cFree electives\u201d can be taken in any subject, including the subject of the major. The only restrictions when choosing \u201cfree electives\u201d are to ensure you\u2019re not taking courses that are prohibited (ie. worth 0.0 credit in an economics degree, such as ECON 2101) and that you are not exceeding the max of 7.0 credits allowed at the 1000-level for the entire degree (including the major and electives sections of your audit).<\/p>\n\n\n\n

In contrast, \u201cElectives Not In Economics\u201d must be in subjects other than Economics and again, you need to ensure you\u2019re not exceeding the 1000-level maximum for the degree.<\/p>\n\n\n\n

There is a max of 7.0 credits 1000-level courses allowed for the entire degree (including requirements in the major and electives). If students exceed 7.0 credits at the 1000-level, course(s) would be set aside and not count towards the degree. You can check how many courses you\u2019ve taken at the 1000-level on your academic audit.<\/p>\n\n\n\n

Students often ask for recommendations about elective courses. Students are in the best position to choose their elective courses based on their own interests, strengths, career goals, learning style, etc.<\/p>\n\n\n\n

List of Elective Suggestions<\/h4>\n\n\n\n
Course<\/strong><\/th>Credit<\/strong><\/th>Calendar Description<\/strong><\/th>Course Outlines<\/strong><\/th><\/tr><\/thead>
COMP 1005<\/a><\/td>[0.5]<\/td>Introduction to Computer Science I<\/td>COMP Course Outlines<\/a><\/td><\/tr>
PSCI 1100<\/a><\/td>[0.5]<\/td>Democracy in Theory and Practice<\/td>PSCI Course Outlines<\/a><\/td><\/tr>
PSCI 1200<\/a><\/td>[0.5]<\/td>Politics in the World<\/td>PSCI Course Outlines<\/a><\/td><\/tr>
ENGL 1020<\/a><\/td>[0.5]<\/td>Effective Writing<\/td>ENGL Course Outlines<\/a><\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

Suggested Course Pattern – Economic Data Science<\/h3>\n\n\n\n

The information below is a recommended<\/em> course pattern for students in the Bachelor of Economics (Honours) with a concentration in Economic Data Science. There may be other ways of structuring your degree depending on part-time study and other factors listed below. Each student\u2019s academic journey is different and might not follow this course pattern exactly.<\/p>\n\n\n\n

For example:<\/p>\n\n\n\n