Last Updated on December 7, 2023
The emergence of big data and cognitive technologies will be the new norms of future business analytics in organizations. Governments and industries revolutionize their operations by optimizing such disruptive technology as strategic assets in their effective decision-makings. While such deployment creates exponential opportunity, future employees must acquire comprehensive managerial knowledge and, leadership skills in the trending management of big data and artificial intelligence. These analytics competencies will maximize the vast potential of expanding data opportunities to prescribe value adding needs of the customers and business environment towards organization competitive advantage.
The Master of Science in Business Analytics with Big Data Management concentration is designed to enable business professionals improve their data analytics skills and competencies to solve business problems in their organizations. This program will empower students to manage data-oriented systems and embed data driven decisions within an organization by bringing leadership skills and comprehensive knowledge from big data disciplines to the management table. Students will get a grasp on the emerging tools and technologies available to tackle challenges in Big Data Management.
Mode of Delivery
Courses will be delivered over a 10-week period in regular terms (Fall, Winter and Spring), and 6-week period in the Summer session. Classes are held on weekdays from 4:30 pm to 9:30 pm. Each 3-credit course will consist of 45 contact hours of lectures and other learning activities. Assessments are conducted outside the contacts hours. Each ‘Thesis’ course will be delivered over a period of ten weeks.
Number of Credits
The total credit hours required to complete the program is 36 credit hours. These include five 3-credit hour common core courses, three 3-credit hour major-specific courses, two 3-credit hour major-specific elective courses, and a 6-credit hour individual major-specific Thesis.
Program Learning Outcomes
Students who complete this program successfully will be able to:
| MSBA – General Learning Outcome (GLO) | |
| GLO1 | Critically appraise current issues in Business Analytics. |
| GLO2 | Critically examine large data sets within organizational contexts. |
| GLO3 | Critically assess wide range of appropriate technology that transform new and abstract data in problem-solving solutions. |
| GLO4 | Critically evaluate current research in advanced problem-solving that is used to interrogate large data sets. |
| MSBA – Big Data Management Learning Outcomes (BDLO) | |
| BDLO1 | Compare trending Big Data management technologies in addressing strategic business needs. |
| BDLO2 | Propose strategic business solution/s to solve challenges in Big Data management. |
| BDLO3 | Discover independent learning strategies to extend professional knowledge of Big Data management, relating to changing innovations, research, ethics, and standards. |
Program Structure
| Core Courses (all required for graduation) | |
| BUS 8401 | Analytics in Business |
| BUS 8402 | Research Methods for Business Analytics |
| BUS 8403 | Maths and Statistical Foundations for Analytics |
| BUS 8404 | Optimization & Decision Systems |
| BUS 8405 | Machine Learning |
| Major Specific Core Courses (all required for graduation) | |
| BDM 8501 | Data Management |
| BDM 8502 | Visualization |
| BDM 8503 | Data Strategy |
| Thesis Courses (all required for graduation) | |
| BDM 8918 | Individual Consultancy Thesis I (Proposal) |
| BDM 8919 | Individual Consultancy Thesis II (Final) |
| Major Specific Elective Courses (two required for graduation) | |
| BDM 8504 | Digital Marketing Analytics |
| BDM 8505 | Workforce Analytics |
| BDM 8506 | Business Analytics Ethics and Policies |
| BDM 8507 | Big Data Boardroom Analytics |
