Investment firms increasingly draw from big data as they manage their financial assets. The growing relevance of big data in the investment industry increasingly requires that students who are interested in a career in finance be deeply familiar with big data and the use of big data in investments. The goal of this course is to provide interested students with such knowledge and insight. Students will learn about the different types of big data and how they may be applied to different types of investment styles. Students will learn how to program in SAS. Students will utilize their newly acquired programming skills in a series of hands-on projects with actual, real-world data and learn how to incorporate both structured and unstructured big data into their investment decisions. While the course will focus on equity investing, the knowledge and skills acquired in this course are easily transferable to other financial assets, such as fixed income securities and real estate.
Academic Units | 3 |
Exam Schedule | Not Applicable |
Grade Type | Letter Graded |
Department Maintaining | BUS |
Prerequisites | |
Mutually Exclusive | |
Not Available to All Programme | (Admyr 2011-2020) |
Index | Type | Group | Day | Time | Venue | Remark |
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0930
1030
1130
1230
1330
1430
1530
1630
1730
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