MBA in Business Analytics - O.P. Jindal Global University
Earn a comprehensive MBA in Business Analytics from O.P. Jindal Global University, combining management expertise with advanced analytics skills. This flexible online program features hands-on learning with industry tools like R Studio, Python, and SQL, preparing you for data-driven leadership roles. Benefit from a global classroom experience and career-ready curriculum.
Instructors:
English
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Course Start Date:
January 01, 2025
Applications Deadline:
30th November '24
Duration:
24 Months
₹ 1,65,000
Overview
The MBA in Business Analytics at O.P. Jindal Global University offers a comprehensive blend of management education and analytics expertise. This 12-24 month program is designed for aspiring business leaders who want to leverage data-driven decision-making in their careers. Students learn through a flexible online format with access to cutting-edge tools and global networking opportunities.
Why Master of Business Administration (Online MBA)?
The program stands out for its industry-relevant curriculum combining traditional MBA subjects with modern analytics tools. Students benefit from hands-on experience with R Studio, Python, SQL, and Tableau while developing critical business acumen. The flexible format allows working professionals to balance education with career commitments.
What does this course have to offer?
Key Highlights
Global classroom environment
Industry-relevant tools training
Flexible learning schedule
Career readiness support
Networking opportunities
Credit recognition for certifications
Hands-on learning approach
Who is this programme for?
Recent graduates seeking analytics careers
Working professionals looking to upskill
Data enthusiasts interested in management roles
Professionals targeting business analyst positions
Individuals seeking global career opportunities
Minimum Eligibility
Bachelor's degree with 50% aggregate score
Valid ID proof
Basic computer proficiency
Internet connectivity
Who is the programme for?
Admission requires a bachelor's degree with 50% aggregate score. The program follows a structured curriculum combining core management principles with specialized analytics courses. Students must complete 72 credits through a mix of coursework, projects, and assessments.
Important Dates
Selection process
How to apply?
Curriculum
The curriculum combines traditional MBA subjects with advanced analytics topics. Core courses cover management fundamentals while specialized modules focus on business analytics, machine learning, and data visualization. Students gain hands-on experience with industry tools through interactive labs and projects.
There are 11 semesters in this course
The program features a comprehensive curriculum blending management and analytics skills. Core courses establish a strong business foundation while specialized modules develop technical expertise in data analysis, visualization, and machine learning. The hands-on approach includes practical work with industry-standard tools like R Studio, Python, SQL, and Tableau. Interactive sessions and real-world projects ensure practical application of learned concepts.
Financial Management
You will acquire the capability to analyze financial statements for business decision making. You'll be introduced to the various aspects of asset valuation and capital budgeting. You will also be exposed to financial applications of analytics, such as risk and fraud predictions, through specialized hands-on courses.
Managing Operations & Supply Chain
Get familiarized with the concepts, techniques and tools to design, analyse, and improve operational and supply chain capabilities of an organization. You will acquire the skills and understanding to manage projects and services. In addition, you will be able to apply analytics to solve operations, supply chain, and logistics problems.
Marketing Management
You will gain a deep appreciation for the science and practice of marketing, both from the perspective of the organization and the customer. You will get acquainted with the various concepts related online and digital marketing, and will also learn to apply analytics to specific marketing, sales, and service situations.
Managing Organizations & People
You will develop a better understanding of human behavior, at individual and collective levels, and the impact of organizational practices on this behavior. You will also be introduced to the principles of managing human resources (HR) in organizations, and apply analytics to make better HR decisions.
Strategic Management & Business Policy
You will be able to evaluate, understand, and devise organizational strategies for superior performance. You will also be able to identify and explore new markets and business opportunities, and run entrepreneurial ventures successfully. You will be able to apply micro- and macro-economic principles and methodologies to business decision problems. You will also be introduced to relevant aspects of business law and regulations, and learn to appreciate ethical and responsible business practices.
Statistical Methods for Decision Making
This course introduces you to all the statistical concepts, tools, and techniques used by organizations and managers. By the end of this course, you will understand the significance of statistics and learn about its applicability in business management. You will gain in-depth knowledge for organizing raw data using graphs and tables to simplify data handling and interpretation.
Introduction to Business Analytics using R
This course introduces the fundamental concepts of business analytics to the managers. The objective is to build the foundation of data mining that forms the integral part of business analytics. Students will learn the data mining problem framing, data understanding, and data preparation for analytics-driven decision models in businesses or organizations.
Advanced Business Analytics
The course helps you to understand working with multivariate data for decision-making. You will understand how to develop predictive models and use them for explaining and predicting business decisions.
Predictive Analytics & Forecasting
This course will provide an overview of predictive analysis tools of data mining and their uses with the volume of data and business cases. The course further acquaints you with how to understand customer behavior and motivations, customers' need, market segmentation, retailing, and business forecasting with the power of predictive data mining tools. Finally, the course will demonstrate a handful set of predictive analytics and data mining tools that can help young managers to make data-driven decisions in today's business scenario.
Database Management with SQL
This course will introduce you to basic terms and concepts of databases. You will learn about the basic building blocks of databases and the roles of Database Administrators (DBAs) and users. This course introduces you to Structured Query Language or SQL. With the help of SQL, you will be able to execute database queries and add, retrieve, modify, or delete the data as and when desired.
Machine Learning
In this course, you will gain an in-depth introduction to building machine-learning models using Python. You will initially recapitulate the key Python libraries which are useful for Data Science applications. This includes coverage of Python libraries like Matplotlib, NumPy, and pandas. Next, you are introduced to the basics of machine learning, and the various classification and regression techniques are discussed. Also, the implementation of these techniques using the popular scikit-learn package is covered in detail.
Programme Length
The program offers flexibility with a completion timeframe of 12-24 months. Students can adjust their pace based on work commitments, with an estimated weekly effort of 14-16 hours. The program includes both synchronous and asynchronous learning components.
Tuition Fee
The total program fee is INR 165,000. Students have access to all course materials, tools, and resources throughout the program duration. The program offers value through industry-relevant skills development and career advancement opportunities.
Fee Structure
Payment options
Financing options
Financial Aid
Learning Experience
The learning experience combines self-paced study with interactive sessions. Students engage through recorded lectures, live sessions, hands-on labs, and group projects. The platform provides 24/7 access to learning materials and tools.
University Experience
Students experience a dynamic virtual learning environment with global peer interaction. The program facilitates networking through group projects and discussions. Career support includes workshops and industry expert sessions.
About the University
O.P. Jindal Global University (JGU), established in 2009, is a private deemed-to-be university located in Sonipat, Haryana, India. Founded as a philanthropic initiative by Naveen Jindal in memory of his father, O.P. Jindal, the university emphasizes a multi-disciplinary and research-oriented approach to education. JGU offers a diverse range of programs across various disciplines, including law, business, liberal arts, international affairs, and life sciences, with over 45 academic programs available.The university is recognized for its commitment to academic excellence and has been ranked as the No. 1 private university in India by multiple sources. It aims to foster a vibrant learning environment that encourages innovation, critical thinking, and global engagement among its students. With a focus on research and interdisciplinary studies, JGU seeks to address contemporary global challenges through education and scholarship.JGU's campus is designed to support an engaging student experience, featuring modern facilities and resources that enhance both academic and extracurricular activities. The university promotes a culture of inclusivity and diversity, welcoming students from various backgrounds and regions.
#601-650
QS World University Ranking
9,000
Total Enrollment
Career services
O.P. Jindal Global University offers robust career services aimed at preparing students for successful careers after graduation. The Career Development Office provides comprehensive support through personalized counseling sessions, workshops on resume writing and interview preparation, and access to job fairs featuring top employers from diverse industries.The university emphasizes experiential learning by facilitating internships that allow students to gain practical experience while studying. These opportunities not only enhance students' resumes but also help them build valuable professional networks that can aid in job placements.JGU maintains partnerships with numerous organizations to provide students with internship opportunities aligned with their career goals. The Career Development Office also organizes networking events where students can connect with alumni and industry professionals for mentorship and guidance.Additionally, the university offers online resources that include job listings, career advice articles, and tools for professional development. This comprehensive approach ensures that students are well-equipped to navigate the job market successfully upon graduation.
Top Recruiters
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Course Start Date:
January 01, 2025
Applications Deadline:
30th November '24
Duration:
24 Months
₹ 1,65,000
Whom you will learn from?
Learn from top industry experts who bring real-world experience and deep knowledge to every lesson. The instructors are dedicated to help you achieve your goals with practical insights and hands-on guidance.
Instructors
Research Professor of Business
Ajay Shah is a distinguished economist and academic with a robust professional background. He holds a PhD in Economics from the University of Southern California and a B.Tech in Aeronautical Engineering from IIT Bombay. Throughout his career, he has held numerous prestigious positions, including Senior Fellow at Pune International Centre, Research Professor of Business at Jindal Global University, and Professor at the National Institute for Public Finance and Policy. Shah has made significant contributions to various domains of economic research, including financial system policy, international finance, risk management, and macroeconomic policy. He has authored and co-authored multiple books and publications, and has been a member of several important government committees and task forces. His research spans diverse areas such as securities markets, exchange rate regimes, capital flows, and technology policy. He has also received multiple honors, including being listed among top economists by Indian Express and winning several awards for his scholarly work.
Research Professor of Business
Professor (Dr.) Susan Thomas is a Research Professor of Business at the Jindal Global Business School, Jindal Global University (JGU) in India. She completed her studies at the Indian Institute of Technology (IIT) Bombay and the University of Southern California. Dr. Thomas has previously served as faculty at the Indira Gandhi Institute for Development Research and has extensive research interests in financial econometrics and market microstructure within the Indian context. Her practical engagement with financial markets includes contributions to designing stock market indices, developing real-time risk management systems for clearing corporations, and analyzing the growth of algorithmic trading's impact on equity and commodities markets. Additionally, she has worked on the development of the zero-coupon yield curve and explored the implications of land record quality on credit markets. Dr. Thomas has been actively involved in policy-making, serving on the Standing Council for the Competitiveness of the Indian Financial Sector since 2013 and participating in the Bankruptcy Legislative Reforms Committee from 2014 to 2015, where she led a research team that designed and drafted the Insolvency and Bankruptcy Code (2016).
Testimonials
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Faculties
These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they’re here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.
Instructors
Emerging Scholar in Social Media Analytics and IT at IIM Lucknow.
Prof. Ambica Ghai is currently pursuing her PhD in Management with a specialization in IT and Systems at IIM Lucknow. Her research focuses on social media listening and monitoring, particularly examining the interplay between textual data and image analytics. This involves analyzing how images and text together can provide insights into consumer behavior and preferences.
Scholar in Organizational Behavior and HRM at Jindal Global Business School.
Anshu Sharma is an Associate Professor in the Organizational Behavior and Human Resource Management (OB-HRM) area at Jindal Global Business School. She also serves as the Assistant Dean for the MBA-DFB Program and is the Executive Director for the Centre of Responsible Management. A Fellow of MDI, Gurgaon, her doctoral research, titled "Determinants of Organizational Learning Capability in the Digital Age: Role of Enterprise Social Media, Social Capital, and Informal Learning," received the Highly Commended Award at the Emerald Outstanding Doctoral Research Awards in 2017.
Instructors
Research Professor of Business
Ajay Shah is a distinguished economist and academic with a robust professional background. He holds a PhD in Economics from the University of Southern California and a B.Tech in Aeronautical Engineering from IIT Bombay. Throughout his career, he has held numerous prestigious positions, including Senior Fellow at Pune International Centre, Research Professor of Business at Jindal Global University, and Professor at the National Institute for Public Finance and Policy. Shah has made significant contributions to various domains of economic research, including financial system policy, international finance, risk management, and macroeconomic policy. He has authored and co-authored multiple books and publications, and has been a member of several important government committees and task forces. His research spans diverse areas such as securities markets, exchange rate regimes, capital flows, and technology policy. He has also received multiple honors, including being listed among top economists by Indian Express and winning several awards for his scholarly work.
Research Professor of Business
Professor (Dr.) Susan Thomas is a Research Professor of Business at the Jindal Global Business School, Jindal Global University (JGU) in India. She completed her studies at the Indian Institute of Technology (IIT) Bombay and the University of Southern California. Dr. Thomas has previously served as faculty at the Indira Gandhi Institute for Development Research and has extensive research interests in financial econometrics and market microstructure within the Indian context. Her practical engagement with financial markets includes contributions to designing stock market indices, developing real-time risk management systems for clearing corporations, and analyzing the growth of algorithmic trading's impact on equity and commodities markets. Additionally, she has worked on the development of the zero-coupon yield curve and explored the implications of land record quality on credit markets. Dr. Thomas has been actively involved in policy-making, serving on the Standing Council for the Competitiveness of the Indian Financial Sector since 2013 and participating in the Bankruptcy Legislative Reforms Committee from 2014 to 2015, where she led a research team that designed and drafted the Insolvency and Bankruptcy Code (2016).
Frequently asked questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.
Bachelor's degree with 50% aggregate score, no specific work experience required
Program can be completed in 12-24 months based on your pace
Students learn R Studio, Python, SQL, Tableau, and other industry-relevant tools