{"id":50721,"date":"2025-07-03T11:27:14","date_gmt":"2025-07-03T15:27:14","guid":{"rendered":"https:\/\/carleton.ca\/economics\/?page_id=50721"},"modified":"2025-07-24T10:02:39","modified_gmt":"2025-07-24T14:02:39","slug":"b-econ-honours-concentration-in-computational-analysis","status":"publish","type":"page","link":"https:\/\/carleton.ca\/economics\/b-econ-honours-concentration-in-computational-analysis\/","title":{"rendered":"B.ECON Honours Concentration in Computational Analysis"},"content":{"rendered":"\n
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\n B.ECON Honours Concentration in Computational Analysis\n <\/h1>\n \n \n <\/header>\n\n <\/div>\n\n <\/div>\n\n <\/div>\n<\/section>\n\n\n\n\n
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\n Table of Contents\n <\/h2>\n
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\n \n 1.\n <\/span>\n\n \n Concentration Description\n <\/a>\n <\/div>\n\n <\/div>\n \n
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\n \n 2.\n <\/span>\n\n \n General Elective Suggestions for First Year ECON Students\n <\/a>\n <\/div>\n\n <\/div>\n \n
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\n \n 3.\n <\/span>\n\n \n Suggested Course Pattern – Computational Analysis\n <\/a>\n <\/div>\n\n <\/div>\n \n
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\n \n 4.\n <\/span>\n\n \n Important Notes!\n <\/a>\n <\/div>\n\n
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\n \n 4.1\n <\/span>\n\n \n ECON 0005\n <\/a>\n <\/div>\n\n <\/div>\n \n
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\n \n 4.2\n <\/span>\n\n \n COMP 1005\n <\/a>\n <\/div>\n\n <\/div>\n \n
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\n \n 4.3\n <\/span>\n\n \n COMP 1805\n <\/a>\n <\/div>\n\n <\/div>\n \n
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\n \n 4.4\n <\/span>\n\n \n Course Workload\n <\/a>\n <\/div>\n\n <\/div>\n \n
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\n \n 4.5\n <\/span>\n\n \n When to Complete Electives\n <\/a>\n <\/div>\n\n <\/div>\n \n
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\n \n 4.6\n <\/span>\n\n \n Minimum Prerequisite Grade\n <\/a>\n <\/div>\n\n <\/div>\n \n
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\n \n 4.7\n <\/span>\n\n \n Pursuing an MA in Economics\n <\/a>\n <\/div>\n\n <\/div>\n \n
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\n \n 4.8\n <\/span>\n\n \n Students Admitted After Fall 2025\n <\/a>\n <\/div>\n\n <\/div>\n \n
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\n \n 4.9\n <\/span>\n\n \n Suggested Course Plans\n <\/a>\n <\/div>\n\n <\/div>\n <\/div>\n\n <\/div>\n <\/div>\n\n <\/div>\n<\/div>\n\n\n\n

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

The B.Econ. Honours Concentration in Computational Analysis provides students with a broad foundation in Computer Science which in combination with Economics training equips students with highly marketable skills. The ability to effectively interact with artificial intelligence as well as conduct advanced computer-aided analysis are essential skills for succeeding in the digital era marketplace.<\/p>\n\n\n\n

The B.Econ. Honours Concentration in Computational Analysis is normally completed during all four years of full-time study. The concentration-specific courses are entirely drawn from the field of Computer Science and upon graduation students will have completed a substantial part of the major in Computer Science within the B.Econ. Honours program. This combination of training in economic analysis with advanced knowledge of computing and data analysis is well-suited for professions in consulting, financial sector, and research and development (e.g., government think-tanks).<\/p>\n\n\n\n

Students looking to gain additional training in data analysis may choose to combine the B.Econ Honours Concentration in Computational Analysis with the B.Econ Honours Concentration in Economic Data Science, the combination of which 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

\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 Electives Suggestions:<\/strong><\/p>\n\n\n\n

Course<\/th>Credit<\/th>Calendar Description<\/th>Course Outlines<\/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>
PSYC 1001<\/a><\/td>[0.5]<\/td>Introduction to Psychology<\/td>PSYC Course Outlines<\/a><\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

Suggested Course Pattern – Computational Analysis<\/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 Computational Analysis. 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:<\/em><\/p>\n\n\n\n