The Abu Dhabi School Of Management
Master of Science in Business Analytics - Big Data ManagementAbu Dhabi, United Arab Emirates
DURATION
18 up to 21 Months
LANGUAGES
English
PACE
Full time
APPLICATION DEADLINE
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EARLIEST START DATE
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STUDY FORMAT
On-Campus
Key Summary
Scholarships
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Introduction
The emergence of big data and cognitive technologies will be the new norm of future business analytics in organizations. Governments and industries revolutionize their operations by optimizing such disruptive technology as strategic assets in their effective decision-making. 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 the organization's competitive advantage.
The Master of Science in Business Analytics with a Big Data Management concentration is designed to enable business professionals to 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.
Admissions
ADSM Virtual Information Session
Wednesday 27 Nov 2024
Curriculum
The MSBA program represents a focused collection of courses that provide students with specialized knowledge of business analytics. The MS in Business Analytics Program has two concentrations, Big Data Management and Artificial Intelligence Management. The student must choose one of these concentrations when joining the program or after successfully completing the common core courses. The Program is structured around five components: the Bridging Program, the Core courses, the Major Courses, the Elective courses, and the Individual Consultancy Thesis.
The courses of the program consist of five core courses, three major courses and two elective courses, each of which is worth three credit points for a total of 30 credit hours. The Consultancy Thesis is worth 6 credit hours. Therefore, the total credit hours of the program are 36. The Bridging Program does not carry credit points, which some students must complete upon the recommendation of the Admission Committee. The Individual Consultancy Thesis is mandatory for graduation from the program. It entails a project that demonstrates the application of skills, knowledge, and competencies to a real-world situation using the business analytics theories, technologies, and models.
Courses
- Analytics in Business
- Research Methods for Business Analytics
- Maths and Statistical Foundations for Analytics
- Optimization & Decision Systems
- Machine Learning
- Data Management
- Visualization
- Data Strategy
- Individual Consultancy Thesis I
- Elective 1
- Elective 2
- Individual Consultancy Thesis II
Program Outcome
General Learning Outcome
- Critically appraise current issues in Business Analytics.
- Critically examine large data sets within organizational contexts.
- Critically assess wide range of appropriate technology that transform new and abstract data in problem-solving solutions.
- Critically evaluate current research in advanced problem-solving that is used to interrogate large data sets.
Big Data Management Learning Outcomes
- Compare trending Big Data management technologies in addressing strategic business needs.
- Propose strategic business solution/s to solve challenges in Big Data management.
- Discover independent learning strategies to extend professional knowledge of Big Data management, relating to changing innovations, research, ethics, and standards.
Program Tuition Fee
Program delivery
- The MSBA program is offered in a face-to-face teaching mode.
- The delivery of each course is designed to allow students to actively engage with the material and critically reflect on the content.
- Courses will be delivered over a 10-week period on weekdays from 4:30 pm to 9:30 pm.
- Each course will have 50 contact hours.
- Classes will be held over four terms in a year (Fall, Winter, Spring and Summer).
- Full-time students will be able to complete the program in 18 months by taking an average of two courses in six consecutive terms.
- ADSM normally has two intakes in the Fall and Spring Terms of each academic year, considering the specific nature of the MSBA program and to maintain a consistent student experience, courses are delivered in a specific and optimal sequence determined by the students’ intake.