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Online MBA Degree in Data Science and Business Analytics from D.Y. Patil University
Multimedia & Big Data Analytics
Quantitative data mining & machine learning
Analytical skill enhancement
Program Key-Highlights
Benefits of Online MBA in Data Science and Business Analytics
Program Eligibility
Any bachelor's degree with min. 40% from a recognised university
Accredited Online Degrees
Elevate your career with a NAAC A++ accredited online mba program in Data Science and Business Analytics, designed by industry leaders for academic success.
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Course Syllabus
24 Months
72 Credits
27 Subjects
Snapshot of Online MBA in Data Science and Business Analytics
MBA in Data Science and Business Analytics at D Y Patil University
The term ‘Data Science’ is commonly heard in the sector of technology or in a field of study that has technology at its core. If you want to study a specialised course that blends Data Science with Management, you can opt for a course in an online MBA in Data Science and Business Analytics from D.Y. Patil University.
Opting for online MBA courses today is considered by many students and working professionals as it offers flexibility in academic instruction without any obstacles to employment. You can study and work simultaneously. In the data-led ecosystem that is prevalent today, Business Analytics is an area that is rapidly gaining relevance. At D.Y.Patil University, the MBA (Master of Business Administration in Data Science and Business Analytics is structured to boost an individual’s analytical skills to make data-driven decisions. In other words, Business Analytics permits individuals to make business and operational decisions based on data that is generated.
Key Highlights : MBA in Data Science and Business Analytics From D Y Patil University
The key highlights of the online MBA in Data Science and Business Analytics course from D.Y. Patil University include the following:
- The duration of the programme is 2 years (comprising 4 semesters)
- The programme is administered online with live and recorded lectures. Students can access course material and submit projects digitally, ensuring flexibility and an optimal study-work balance
- The curriculum of MBA online learning in a course in Data Science and Business Analytics at D.Y. Patil University effectively combines the areas of data analysis and data science with business operations so that decision-making is based on data science concepts and intricate analysis systems.
- The course is open to Indian and international students
- Graduates of the online MBA course in Data Science and Business Analytics at D.Y. Patil University may pursue a range of roles in the Finance sector, spanning managerial and technical roles in Banking, Insurance, and more. Besides the ever-evolving BFSI sector, there are a gamut of roles in the technology sector that demand skills in these areas.
- Students get complete access to comprehensive resources, including the university’s LMS
- The course is UGC-entitled, graded by NAAC as A++, and has AICTE and NIRF accreditations
D Y Patil University MBA Data Science and Business Analytics Syllabus
The syllabus for the Data Science and Business Analytics MBA degree online at D.Y. Patil University is spread across 2 years (with 4 semesters). The curriculum for each semester includes the following subjects:
Semester 1
- Organizational Behaviour
- Principle of Accounting
- Managerial Economics
- Principles of Management
- Quantitative Techniques
Elective (Any One)
- Global Business Environment
- Business Law & Corporate Governance
- Business communication
Semester 2
- Human Resource Management - I
- Strategic Management
- Financial Management - I
- Principles of Marketing - I
- Production & Operation Management
- Supply Chain Management
Elective (Any One)
- Management Information Systems
- Sales Management
Semester 3
- International Business
- Research Methodology
- Project Management
- Entrepreneurship Essentials
- Cost & Management Accounting
- Project Work - Part 1
- Operation Research
Semester 4
- Essentials of Data Science
- Statistical Thinking for Data Science
- Data Analysis and Visualization
- Business Analytics
- Business Analysis using Excel
- Predictive Analysis for Business Decisions
- Project Work - Part 2 Final Submission