Program Objectives
The Program Objectives for the BBA in Business Analytics program are as follows:
- To prepare graduates who have a strong foundation in business principles and quantitative methods, as well as specialized training in data analysis tools and techniques.
- To equip graduates with the skills and knowledge needed to succeed in data-driven industries, including marketing, finance, and operations.
- To produce graduates who can analyze complex business problems and provide data-driven solutions to help organizations make informed decisions.
- To foster a commitment to lifelong learning, so that graduates are prepared to adapt to new technologies and emerging trends in the field of business analytics.
- To instill ethical and socially responsible values in graduates, so that they can contribute to the betterment of society through their work in business analytics
15 Days
Admission Session
2 Years
Duration
₹ 50,000
Fees
Program Highlights
Industry Oriented Curriculum
Analytics Labs
Live Project Based Learning
Frequent Seminar and Workshop by Industry Experts
International Exposure
Highly Qualified Faculty
Preamble
A Bachelor of Business Administration (BBA) degree in Business Analytics at Pimpri Chinchwad University is a program designed to equip students with the skills and knowledge needed to succeed in the fast-paced world of business. The program is focused on the application of data analysis techniques to business problems and decision-making, and prepares students for careers in data-driven industries such as marketing, finance, and operations.
Throughout the BBA in Business Analytics program, students will gain a strong foundation in business principles and quantitative methods, as well as specialized training in data analysis tools and techniques. They will learn how to use software tools to extract, clean, and analyze data, and how to communicate their findings effectively to stakeholders.
The BBA in Business Analytics program is designed to be hands-on and practical, with opportunities for students to apply their skills to real-world business problems. Graduates of the program will be well- equipped to take on challenging roles in a variety of industries, from small startups to large multinational corporations.
Vision and Mission
Vision
Our vision is to be a leading BBA program in Business Analytics, recognized for producing graduates who are skilled in using data analysis to solve complex business problems and drive innovation in their respective fields.
Mission
Our mission is to provide a comprehensive BBA program in Business Analytics that prepares students for successful careers in data-driven industries.
Course Curriculum
Semester I
| Semester – I | Teaching Scheme | ||||||
| Course Code | Category | Course Name | L | T | P | H | Cr |
| BAT101 | MAJ | Principles of Management | 1 | 1 | 1 | 4 | 4 |
| BAT102 | MAJ | Introduction to Business
Analytics |
1 | 1 | 2 | 2 | |
| BAT103 | MAJ | Microsoft Excel | 2 | 2 | 2 | ||
| BAT104 | MIN | Principles of Marketing | 2 | 2 | 2 | ||
| BAT105 | MIN | Micro Economics | 1 | 1 | 3 | 2 | |
| BAT106 | OE | Open Elective I – ( Analytics
Basics) |
1 | 2 | 4 | 3 | |
| BAT107 | SEC | Basics of Computer
Application |
1 | 2 | 1 | ||
| BAT108 | SEC | Environmental and Sustainability Science | 1 | 1 | 2 | 2 | |
| BAT109 | AEC | Communication Enhancement
–I-(Verbal ) |
1 | 1 | 1 | ||
| BAT110 | VAC | Basics of Artificial Intelligence | 1 | 1 | 1 | ||
| Total | 11 | 02 | 06 | 23 | 20 | ||
Semester II
| Semester – II | Teaching Scheme | ||||||
| Course Code | Category | Course Name | L | T | P | H | Cr |
| BAT201 | MAJ | Financial Accounting and
Business Mathematics |
1 | 1 | 1 | 4 | 3 |
| BAT202 | MAJ | Foundation of Data Science | 1 | 1 | 3 | 2 | |
| BAT203 | MAJ | Predictive Analysis | 1 | – | 1 | 3 | 2 |
| BAT204 | MIN | Macro Economics | 1 | – | 1 | 3 | 2 |
| BAT205 | MIN | Operation Management | 1 | – | 1 | 3 | 2 |
| BAT206 | OE | Open Elective I – (e-Commerce
) |
1 | 1 | 1 | 4 | 3 |
| BAT207 | SEC | Sales, Negations and Conflict
Mgt |
– | 1 | 2 | 1 | |
| BAT208 | SEC | HSMC – II | 1 | – | 1 | 2 | 2 |
| BAT209 | AEC | Communication Enhancement –
I(Non-Verbal ) |
– | – | 1 | 2 | 1 |
| BAT210 | VAC | Indian Values and Culture | 1 | – | – | 1 | 1 |
| 08 | 02 | 09 | 27 | 20 | |||
Semester III
| Semester – III | Teaching Scheme | ||||||
| Course Code | Category | Course Name | L | T | P | H | Cr |
| BAT301 | MAJ | Statistics with R for Managers | 1 | – | 1 | 3 | 2 |
| BAT302 | MAJ | DBMS | 1 | 1 | 3 | 2 | |
| BAT303 | MAJ | Python | 1 | – | 1 | 3 | 2 |
| BAT304 | MAJ | Descriptive Business Analytics | 1 | 1 | 3 | 2 | |
| BAT305 | MIN | Data Warehousing | 1 | – | 1 | 3 | 2 |
| BAT306 | OE | Open Elective – I (Critical
Reasoning and Systems Thinking) |
1 | 1 | 1 | 4 | 3 |
| BAT307 | SEC | Life Skills Training-I | – | – | 1 | 2 | 1 |
| BAT308 | SEC | HSMC – III | 1 | – | 1 | 3 | 2 |
| BAT309 | AEC | Foreign Language -German | 1 | – | – | 1 | 1 |
| BAT310 | VAC | Financial Literacy | 1 | – | 1 | 1 | |
| Total | 08 | 02 | 08 | 26 | 20 | ||
Semester IV
| Semester – IV | Teaching Scheme | ||||||
| Course Code | Categor y | Course Name | L | T | P | H | Cr |
| BAT401 | MAJ | Fundamentals of Artificial Intelligence and Machine
Learning |
1 | 1 | 1 | 4 | 3 |
| BAT402 | MAJ | Design Thinking and Data
Visualization |
1 | 1 | 1 | 4 | 3 |
| BAT403 | MAJ | IPR | 1 | – | 1 | 3 | 2 |
| BAT404 | MAJ | SQL | 1 | – | 1 | 3 | 2 |
| BAT405 | MIN | Competency Mapping and
Performance Management |
1 | – | 1 | 3 | 2 |
| BAT406 | MIN | Mergers and Acquisition | 1 | – | 1 | 3 | 2 |
| BAT407 | MIN | Digital Marketing | 1 | – | 1 | ||
| BAT408 | MIN | IMC | 1 | – | 1 | 1 | |
| BAT409 | AEC | Foreign Language -French | 1 | – | 1 | 1 | |
| BAT410 | SEC | Life Skills Training-II | – | – | 2 | 4 | 2 |
| BAT411 | VAC | CSR-I | – | – | 1 | 2 | 1 |
| Total | 09 | 02 | 09 | 28 | 20 | ||
Semester V
| Semester – V | Teaching Scheme | ||||||
| Course Code | Category | Course Name | L | T | P | H | Cr |
| BAT501 | MAJ | Research Methodology | 1 | 1 | 1 | 4 | 3 |
| BAT502 | MAJ | Project Management and
Business Intelligence |
1 | 1 | 1 | 4 | 3 |
| BAT503 | MAJ | Entrepreneurship
Development |
1 | – | 1 | 3 | 2 |
| BAT504 | MAJ | Privacy, Ethics and
Regulations in Artificial Intelligence |
1 | – | 1 | 3 | 2 |
| BAT505 | MIN | Management Information System | 1 | – | 1 | 3 | 2 |
| BAT506 | MIN | HRM | 1 | – | 1 | 4 | 2 |
| BAT507 | MIN | Elective I | – | – | 1 | 2 | 1 |
| BAT508 | MIN | Elective – I Lab | – | – | 1 | 2 | 1 |
| BAT509 | AEC | Public Speaking | – | – | 1 | 2 | 1 |
| BAT510 | SEC | Resume Writing and Creative Writing | – | – | 2 | 4 | 2 |
| BAT511 | VAC | CSR-II | – | – | 1 | 2 | 1 |
| Total | 06 | 02 | 12 | 33 | 20 | ||
Semester VI
| Semester – VI | Teaching Scheme | ||||||
| Course Code | Category | Course Name | L | T | P | H | Cr |
| BAT601 | MAJ | Big Data Analytics | 1 | 1 | 1 | 4 | 3 |
| BAT602 | MAJ | Digital Transformation | 1 | 1 | 1 | 4 | 3 |
| BAT603 | MAJ | Media Analytics | 2 | – | – | 2 | 2 |
| BAT604 | MAJ | Trends in Analytics | 2 | – | – | 2 | 2 |
| BAT605 | MIN | Sales Promotion | – | – | 2 | 4 | 2 |
| BAT606 | MIN | Elective- II | – | – | 2 | 4 | 2 |
| BAT607 | MIN | Elective -II Lab | – | – | 1 | 2 | 1 |
| BAT608 | MIN | Analytics Startups | – | – | 1 | 2 | 1 |
| BAT609 | AEC | Public Speaking | – | – | 1 | 2 | 1 |
| BAT610 | SEC | Blog Writing | – | – | 2 | 4 | 2 |
| BAT611 | VAC | Book Review | – | – | 1 | 2 | 1 |
| Total | 06 | 02 | 12 | 32 | 20 | ||
Semester VII
| Semester – VII | Teaching Scheme | ||||||
| Course Code | Categ ory | Course Name | L | T | P | H | Cr |
| BAT701 | MAJ | International Finance | 1 | 1 | 1 | 4 | 3 |
| BAT702 | MAJ | Foreign Exchange
Management |
1 | 1 | 1 | 4 | 3 |
| BAT703 | MAJ | Cyber Security | 1 | – | 1 | 3 | 2 |
| BAT704 | MAJ | Corporate Law | – | 2 | 4 | 2 | |
| BAT705 | MIN | Elective -III | – | – | 2 | 4 | 2 |
| BAT706 | MIN | Elective -IV | – | – | 2 | 4 | 2 |
| BAT707 | MIN | Elective -III Lab | – | – | 1 | 2 | 1 |
| BAT708 | MIN | Elective -IV | – | – | 1 | 2 | 1 |
| BAT709 | INT R | Internship | – | – | 4 | 8 | 4 |
| Total | 03 | 02 | 15 | 35 | 20 | ||
Semester VIII
| Semester – VIII | Teaching Scheme | ||||||
| Course Code | Category | Course Name | L | T | P | H | Cr |
| BAT801 | MAJ | Managing Disruptive
Technology |
1 | 1 | 1 | 4 | 3 |
| BAT802 | MAJ | Case Study | 1 | – | 1 | 4 | 2 |
| BAT803 | MIN | Elective – V | – | – | 2 | 4 | 2 |
| BAT804 | MIN | Elective – V Lab | – | – | 1 | 2 | 1 |
| BAT 805 | PROJ | Project | – | – | 12 | 24 | 12 |
| Total | 02 | 01 | 17 | 38 | 20 | ||
List of Tentative Electives:
| Course Code | Course Name |
| Marketing Analytics | |
| Finance Analytics | |
| HR Analytics | |
| Supply chain Analytics | |
| Operation Analytics | |
| Innovation Mgt | |
| SAS and Tableau with Lab | |
List of Tentative Life Skill Courses:
| Course Code | Course Name |
| Practicing Meditation | |
| Sports | |
| Yoga | |
| Performing Arts:
Music, Singing, Poetry, Indian Conventional Dancing, Photography, Short Movie Making, Painting/ Sketching/ Drawing, Theatre Arts, Anchoring, Calligraphy etc. |
|
| Social welfare and Cultural Awareness | |
| Caring and service
Hospital Caring, Personal Safety, First Aid, Disaster Management Gardening, Organic farming, Cooking etc. |
Abbreviations: Course Abbreviation; L – Lecture; T – Tutorial; P – Practical; H – Hours; CR – Credits, HSMC – Humanities/ Social Sciences/ Management Courses
Programme
Programme Educational Objectives (PEOs)
The Programme Educational Objectives (PEOs) for the BBA in Business Analytics program are as follows:
- To prepare graduates who have a strong foundation in business principles and quantitative methods, as well as specialized training in data analysis tools and
- To equip graduates with the skills and knowledge needed to succeed in data-driven industries, including marketing, finance, and
- To produce graduates who can analyze complex business problems and provide data-driven solutions to help organizations make informed
- To foster a commitment to lifelong learning, so that graduates are prepared to adapt to new technologies and emerging trends in the field of business
To instill ethical and socially responsible values in graduates, so that they can contribute to the betterment of society through their work in business analytics.
Programme Outcomes (POs)
After Completion of BBA in Business Analytics Students will be able to :
- Apply knowledge of business principles and quantitative methods to analyze and solve complex business problems.
- Use software tools to extract, clean, and analyze data in order to make informed business decisions.
- Communicate effectively with stakeholders, presenting data and insights in a way that is understandable and useful to non-technical audiences.
- Work effectively in teams to solve business problems and develop data-driven
- Understand and apply ethical and responsible practices in the collection, analysis, and presentation of data
- Continuously learn and adapt to new technologies and emerging trends in the field of business analytics.
- Apply critical thinking and creativity to develop innovative solutions to business problems.
- Understand the importance of diversity and cultural sensitivity in the context of data analysis and business decision-making.
Programme Specific Outcomes (PSOs)
The Programme Specific Outcomes (PSOs) for the BBA in Business Analytics program are as follows:
- Develop knowledge of Analytics in all Business Functions
- Apply Analytics solutions to practical problems
- Develop entrepreneurial skills
- Analyze Big data to make informed decisions:
- Develop skills to become a good Manager
Faculty Members
Career Opportunities
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