BBA in Business Analytics
BBA in Business Analytics is a three-year undergraduate degree that prepares students to handle the demands of a changing business environment by providing them with the required skills and information. Students will learn about core courses (Entrepreneurial Development, Organizational Behavior, Marketing Management and Human Resource Management), as well as specialized courses such as Business Analytics, Spreadsheet modeling, Marketing and HR Analytics, Supply-Chain Analytics, Data Visualization, R programming, Business Intelligence & Data Mining, and so on.
Many businesses claim that skilled people in analytics positions are in short supply. Hence, Business Analytics is one of the skills that employers will need the most in the coming time. The Bureau of Labour Statistics predicts that operations research analyst employment will grow at a rate of 27 per cent through 2026, far faster than the average for all occupations. Hence, it is one of the most potential courses for building a successful career.
The course curriculum of the BBA in Business Analytics at School of Management and Commerce, under DBUU, is designed in consultation with experts from the industry, focuses on both the practical and theoretical aspects of the course and prepares the students to deal with future technology and Data-Driven global environmental challenges.
Salient Features
- 19+ years of academic experience
- Focus on student-centered learning
- Problem-based learning and industry-relevant curriculum
- Best placement opportunities to get placed in high-end and reputed companies
- Industrial training in reputable firms and organizations
- The privilege of 100% placement guidance and support
- Industry Visits, Seminars, Workshops, and Guest Lectures by Eminent Researchers and Industry Practitioners
- Active student clubs and bodies
- The multi-cultural and vibrant teaching environment
Admissions Open 2024!!
Merit-based admission process with online application at Dev Bhoomi Uttarakhand University.
Eligibility & Fee Details
Duration & Eligibility
3 Years
The candidate must have passed 10+2 examination or equivalent in any stream from a recognized educational board with a minimum aggregate score of 50% marks
Fee Structure |
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Course | Total Fee | ||
Academic fee ( Per Sem) | ₹ 45000/- |
One Time Fee |
|||
Application Fee (Non-Refundable) | Admission Fee (Non-Refundable) | University Enrollment Fee (Non-Refundable) | |
₹ 1,500 | ₹ 7,000 | ₹ 3,000 | |
Exam fees ( Per Semester) | 4,500/- | ||
Download Fee Structure |
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Programme Educational Objectives (PEO's)
PEO-1 | To enhance communication skills for presentations, documentation, report writing, and manual preparation is emphasized |
PEO-2 | To give a solid foundation in the fundamental principles, strengths, major technologies, and limitations of business analytics and its applications in various fields |
PEO-3 | To provide knowledge in business analytics solutions and recommendations based on the apps deployed |
PEO-4 | To foster proficiency to critically examine, synthesize and solve difficult, unstructured business problems |
PEO-4 | To foster proficiency to critically examine, synthesize and solve difficult, unstructured business problems |
PEO-5 | To prepare graduates to analyse results/solutions and determine suitable courses of action for a provided administrative situation, whether a crisis or an opportunity |
Program Specific Objectives (PSO's)
PSO-1 | Encourage an aptitude for business improvement, innovation, and entrepreneurial action |
PSO-2 | To provide deep technical data and administrative expertise and particular business knowledge in artificial intelligence, data science, data structuring, and virtual reality |
PSO-3 | Lectures will be used to present principles and current analytics practices |
PSO-4 | Several workshops will provide participants with hands-on Data Management, Data-Driven Simulation, and Model Construction Expertise, preparing them to solve business problems in a variety of areas |
PSO-5 | To instill a sense of moral decision-making and a dedication to the long-run interest of both communities and the organizations they serve |
Program Grid Structure
Semester 1
Course Code | Course | Credit |
---|---|---|
23BBA101 | Foundation of Management | 4 |
23BBA102 | Managerial Economics | 4 |
23BBA103 | Financial Accounting | 4 |
23BBA104 | Business Environment and Policy | 4 |
23BBA105 | Computer for Management | 3 |
23LS192 | Environment Science | 2 |
Practical | ||
VAM103XX | Value Added Course –I | 0 |
TOTAL | 21 |
Semester 2
Course Code | Course | Credit |
---|---|---|
23BBA201 | Digital Marketing | 4 |
23BBA202 | Organizational Behavior | 4 |
23BBA203 | Basic Business Finance | 4 |
23BBA204 | Statistical Techniques for Management | 4 |
23BBA205 | Corporate Communication | 3 |
23LS191 | English Communication | 2 |
Practical | ||
VAM203XX | Value Added Course-II | 0 |
Social Internship – Students to pursue a 4 weeks Social internship post 2nd semester during the summer break. This will be evaluated during the semester III | ||
TOTAL | 21 |
Semester 3
Course Code | Course | Credit |
---|---|---|
23BBA BA 301 | Project Management | 4 |
23BBA BA 302 | Python Programming and data manipulationt | 4 |
23BBA BA 303 | Digital Literacy | 4 |
23BBA BA 304 | Communication Skill for Analyst | 4 |
23LS292 | Indian Knowledge System | 0 |
23AEC391 | Ability Enhancement Course- I | 2 |
23OE36X | Open Elective – I | 2 |
Practical | ||
VAM303XX | Value Added Course-III | 0 |
22SOCIALIN391 | Social Internship | 1 |
TOTAL | 21 |
Semester 4
Course Code | Course | Credit |
---|---|---|
23BBA BA 401 | Supply Chain Analytics | 4 |
23BBA402 | Business Research Methods | 4 |
23BBA BA 403 | Database Management System and Data Warehouse | 3 |
23BBA BA 404 | Programming with R | 4 |
23BBA BA 405 | Exploratory Data Analytics | 3 |
21AEC491 | Ability Enhancement Course-II | 2 |
23LS291 | Universal Human Values | 3 |
Practical | ||
VAM403XX | Value Added Course-IV | 0 |
23BBA BA 406 | Visualization through R | 1 |
Internship-1 – Students to pursue a 6 weeks internship post 4th semester during the summer break. This will be evaluated during the semester V. | ||
TOTAL | 24 |
Semester 5
Course Code | Course | Credit |
---|---|---|
23BBA BA 501 | Data Mining and Machine Learning | 4 |
23BBA BA 502 | Big Data Analytics | 4 |
23BBA BA 503 | Data Visualization and Communication | 4 |
23BBA BA 504 | Business Laws | 4 |
21AEC591 | Ability Enhancement Course-III | 2 |
23OE56X | Open Elective II | 2 |
Practical | ||
VAM503XX | Value Added Course -V | 0 |
23PSIN391 | Internship -I | 1 |
Minor project I – Student shall undertake their field work during winter break for a period of 2 weeks. | ||
TOTAL | 21 |
Semester 6
Course Code | Course | Credit |
---|---|---|
23BBA BA 601 | Financial Analytics | 4 |
23BBA BA 602 | Marketing Analytics | 4 |
23BBA BA 603 | Domain Project | 3 |
23BBA BA 604 | HR Analytics | 4 |
23AEC691 | Ability Enhancement Course -IV | 2 |
Practical | ||
VAM603XX | Value Added Course-VI | 0 |
Minor project II – Student shall undertake their field work during winter break for a period of 2 weeks | ||
TOTAL | 17 |
Semester 7
Course Code | Course | Credit |
---|---|---|
23BBA701 | Corporate Restructuring | 4 |
23BBA702YY | Program Elective I | 3 |
23BBA703YY | Program Elective II | 3 |
23BBA704YY | Program Elective III | 3 |
23OE76X | Open Elective III | 2 |
Practical | ||
23PSPR791 | Minor Project- II | 2 |
23RND791 | Research Methodology -I | 4 |
Internship-II – Students to pursue a 6 weeks internship post 7th semester during the summer break. This will be evaluated during the semester VIII. | ||
TOTAL | 21 |
Semester 8
Course Code | Course | Credit |
---|---|---|
23BBA801YY | Programme Elective IV | 3 |
23BBA802YY | Programme Elective V | 3 |
23BBA803YY | Programme Elective VI | 3 |
23BBA804YY | Programme Elective VII | 3 |
23LS891 | Indian Constitution | 2 |
Practical | ||
23PSIN891 | Internship –II | 0 |
23RND891 | Research Methodology -II | 8 |
VAM803XX | Advanced Statistical Tools and Techniques | 2 |
TOTAL | 24 |
Job Opportunities The Course Might Lead To
Candidates may also take up research or MBA in the future. Candidates will find themselves entering and committing themselves to various professions like-
- Data Scientist
- Quantitative Analyst/Modeller
- Big Data Scientist
- Data Business Analyst
- Business Analyst
- Big Data Engineer
- Financial Analyst
- Marketing Analytics Manager
- Business Intelligence and Analytics Consultant
- Big Data Analyst
- Machine Learning Engineer
Admission 2023-24