.png&w=1920&q=75)
INTEGRATED-BBA-HONS-MBA in Business Analytics at O.P. Jindal Global University
Sonipat, Haryana
.png&w=1920&q=75)
About the Specialization
What is Business Analytics at O.P. Jindal Global University Sonipat?
This Business Analytics program at O.P. Jindal Global University (JGU) focuses on equipping students with advanced analytical skills to interpret complex business data. In the Indian industry, data-driven decision-making is paramount, and this program responds to the growing demand for professionals adept at leveraging insights from vast datasets for strategic advantage. It combines core business acumen with cutting-edge analytical tools.
Who Should Apply?
This program is ideal for fresh graduates from diverse academic backgrounds (commerce, science, arts) seeking entry into the data analytics domain. It also caters to early-career working professionals looking to upskill in analytics or career changers transitioning into data science or business intelligence roles within India. A strong aptitude for quantitative reasoning and problem-solving is beneficial.
Why Choose This Course?
Graduates of this program can expect to pursue India-specific career paths such as Business Analyst, Data Analyst, Market Research Analyst, Financial Analyst, and Consultant across various sectors. Entry-level salaries typically range from INR 5-8 LPA, growing to INR 12-25+ LPA for experienced professionals in leading Indian and multinational companies. The curriculum prepares students for roles in rapidly expanding data-centric industries.
Student Success Practices
Foundation Stage
Master Foundational Business & Quantitative Skills- (Semester 1-2)
Focus rigorously on understanding core principles of management, economics, accounting, and especially statistics and business mathematics. These subjects form the bedrock for advanced analytics. Join peer study groups and utilize university academic support services for challenging topics.
Tools & Resources
Khan Academy, Coursera for introductory business courses, JGU Library resources, peer tutors, departmental faculty
Career Connection
Strong fundamentals ensure a solid grasp of business contexts required for effective data interpretation, crucial for all business analytics roles.
Develop Basic Data Handling Proficiency- (Semester 1-2)
Begin exploring basic data handling tools even before formal courses. Learn Excel extensively for data manipulation and visualization. Attend workshops on introductory programming languages like Python (basic syntax) which are vital for future analytics.
Tools & Resources
Microsoft Excel, online Python tutorials (e.g., Codecademy, DataCamp free tiers), JGU IT labs
Career Connection
Early exposure builds practical skills, making subsequent specialized courses easier and providing a head start for internships.
Cultivate Critical Thinking and Communication- (Semester 1-2)
Engage actively in case studies, debates, and presentations in academic writing and critical thinking courses. Practice articulating complex ideas clearly, both verbally and in writing, as effective communication is key for a business analyst to convey insights.
Tools & Resources
JGU''''s communication skills labs, academic writing workshops, participating in college debates/societies
Career Connection
Essential for converting data insights into actionable business recommendations and presenting them to stakeholders.
Intermediate Stage
Deep Dive into Business Analytics Core Tools- (Semester 3-5)
Excel in courses like Data Analytics for Business, Data Visualization, and Business Forecasting. Master tools like R or Python for statistical analysis and data manipulation, alongside visualization tools like Tableau or Power BI. Work on small data projects.
Tools & Resources
R Studio, Python (Pandas, NumPy, Matplotlib, Seaborn), Tableau Public, Power BI Desktop, Kaggle datasets, university analytics software licenses
Career Connection
Directly develops the technical toolkit required for junior data analyst and business intelligence roles.
Seek Industry Exposure through Mini-Projects & Internships- (Semester 4-6 (before the formal 6th semester internship))
Actively look for opportunities to work on real-world data problems, either through faculty-led research, internal college projects, or short-term internships during breaks. Apply theoretical knowledge to practical scenarios.
Tools & Resources
JGU''''s career services, industry mentorship programs, internal hackathons or data challenges
Career Connection
Builds a practical portfolio, enhances resume, and provides networking opportunities, critical for placements.
Network and Participate in Analytics Competitions- (Semester 4-6)
Attend industry seminars, workshops, and guest lectures to understand current trends. Join professional bodies (if available for students) and participate in inter-college or online data analytics competitions to test skills and gain recognition.
Tools & Resources
LinkedIn for professional networking, platforms like HackerEarth, Analytics Vidhya for competitions, JGU industry events
Career Connection
Expands professional network, provides visibility, and demonstrates practical problem-solving abilities to potential employers.
Advanced Stage
Specialize and Master Advanced Analytics Techniques- (Semester 7-9)
Focus intensely on MBA specialization courses like Machine Learning for Business, Predictive Modelling, and Big Data Technologies. Develop expertise in specific industry analytics (e.g., Marketing, Financial, HR Analytics). Undertake a capstone project using advanced techniques.
Tools & Resources
Advanced Python libraries (scikit-learn, TensorFlow, Keras), cloud platforms (AWS, Azure, GCP for data services), specialized domain-specific software
Career Connection
Positions graduates for roles requiring advanced skill sets like Data Scientist, AI/ML Engineer, or Lead Business Analyst in Indian and global firms.
Prepare for Placement with Tailored Portfolio & Interviews- (Semester 8-10 (Ongoing throughout final years))
Refine your resume and LinkedIn profile, showcasing projects and analytical skills. Practice technical interviews (coding, case studies, statistical concepts) and behavioral interviews. Leverage JGU''''s placement cell for mock interviews and career counseling.
Tools & Resources
JGU Career Development Centre, online interview preparation platforms (e.g., LeetCode, HackerRank for coding; Glassdoor for company-specific interview questions), personal project portfolio
Career Connection
Directly leads to successful placements in desired analytics roles across various industries.
Engage in Real-world Projects and Industry Mentorship- (Semester 8-10)
Maximize learning from the mandatory MBA Comprehensive Project and any second internship. Seek mentorship from industry professionals to gain insights into real-world challenges and career progression within the Indian analytics ecosystem.
Tools & Resources
JGU industry partnerships, alumni network, professional mentorship platforms
Career Connection
Transforms theoretical knowledge into practical, industry-ready experience, providing a competitive edge in the job market and facilitating smooth transition into professional roles.
Program Structure and Curriculum
Eligibility:
- 10+2 with minimum 60% aggregate marks or equivalent (as per official brochure)
Duration: 5 years / 10 semesters
Credits: Calculated: 174. Brochure claims 250+ Credits (150+ for BBA Hons, 100+ for MBA) Credits
Assessment: Assessment pattern not specified
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BBA 101 | Principles of Management | Core | 3 | |
| BBA 102 | Business Economics | Core | 3 | |
| BBA 103 | Business Mathematics | Core | 3 | |
| BBA 104 | Introduction to Financial Accounting | Core | 3 | |
| BBA 105 | Business Communication | Core | 3 | |
| JGU 101 | Foundation Course: Academic Writing | Foundation | 3 |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BBA 201 | Organizational Behaviour | Core | 3 | |
| BBA 202 | Macroeconomics | Core | 3 | |
| BBA 203 | Statistics for Business Decisions | Core | 3 | |
| BBA 204 | Marketing Management | Core | 3 | |
| BBA 205 | Legal Aspects of Business | Core | 3 | |
| JGU 102 | Foundation Course: Critical Thinking | Foundation | 3 |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BBA 301 | Human Resource Management | Core | 3 | |
| BBA 302 | Operations Management | Core | 3 | |
| BBA 303 | Managerial Accounting | Core | 3 | |
| BBA 304 | Entrepreneurship and New Venture Creation | Core | 3 | |
| BBA 305 | Business Research Methods | Core | 3 | |
| BBA 521 | Data Analytics for Business | Specialization Elective | 3 |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BBA 401 | International Business | Core | 3 | |
| BBA 402 | Management Information Systems | Core | 3 | |
| BBA 403 | Financial Management | Core | 3 | |
| BBA 404 | Business Law | Core | 3 | |
| BBA 405 | Supply Chain Management | Core | 3 | |
| BBA 522 | Data Visualization | Specialization Elective | 3 |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BBA 501 | Strategic Management | Core | 3 | |
| BBA 502 | Services Marketing | Core | 3 | |
| BBA 503 | Investment Management | Core | 3 | |
| BBA 504 | Corporate Social Responsibility & Ethics | Core | 3 | |
| BBA 505 | Digital Business | Core | 3 | |
| BBA 523 | Business Forecasting | Specialization Elective | 3 |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BBA 601 | Project Management | Core | 3 | |
| BBA 602 | Corporate Finance | Core | 3 | |
| BBA 603 | Brand Management | Core | 3 | |
| BBA 604 | Business Analytics | Core | 3 | |
| BBA 605 | Global Strategy | Core | 3 | |
| ELC BBA | Experiential Learning Course: Internship / Project | ELC | 3 |
Semester 7
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MBA 701 | Managerial Economics | Core | 3 | |
| MBA 702 | Financial Accounting & Analysis | Core | 3 | |
| MBA 703 | Organisational Behaviour | Core | 3 | |
| MBA 704 | Quantitative Techniques for Management | Core | 3 | |
| MBA 705 | Marketing Management | Core | 3 | |
| MBA 706 | Business Communication | Core | 3 |
Semester 8
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MBA 801 | Human Resource Management | Core | 3 | |
| MBA 802 | Operations Management | Core | 3 | |
| MBA 803 | Financial Management | Core | 3 | |
| MBA 804 | Business Ethics & Corporate Governance | Core | 3 | |
| MBA 805 | Legal Aspects of Business | Core | 3 | |
| MBA 998 | Internship | ELC | 3 |
Semester 9
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MBA 806 | Strategic Management | Core | 3 | |
| MBA 807 | Management Information Systems | Core | 3 | |
| MBA 808 | International Business | Core | 3 | |
| MBA 809 | Project Management | Core | 3 | |
| MBA 901 | Advanced Data Analytics | Specialization | 3 | |
| MBA 902 | Big Data Technologies | Specialization | 3 |
Semester 10
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MBA 903 | Machine Learning for Business | Specialization | 3 | |
| MBA 904 | Predictive Modelling | Specialization | 3 | |
| MBA 905 | Marketing Analytics | Specialization | 3 | |
| MBA 999 | Comprehensive Project | ELC | 3 |
