The Abu Dhabi School Of Management
Master of Science in Business Analytics - AI 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 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 Artificial Intelligence Management concentration is designed for students to understand the science behind Artificial Intelligence (AI) and the metrics to measure success with an organization. This program covers Artificial Intelligence in various businesses contexts to leverage AI in current business practices. This program will enable students to gain knowledge and competencies in AI oriented systems and embed intelligent-driven decisions within an organization. Students will grasp AI managerial skills and comprehensive knowledge from various management perspectives, all while learning the trends and technologies available to tackle challenges in Artificial Intelligence 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 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
- Applied Artificial Intelligence
- AI Business Application
- AI Strategy & Change
- 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.
Artificial Intelligence Management Learning Outcomes
- Compare recent Artificial Intelligence management applications to recommend strategic business solution/s.
- Integrate Artificial Intelligence management applications to address changing business needs.
- Discover independent learning strategies to extend professional knowledge of Artificial Intelligence 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.