BBA Business Analytics
- About Program
- Teaching Pedagogy
- Program Specifications
- Program Matrix
- Hightlights
- Career Prospects
This BBA program is designed to equip students with the skills needed to excel in the data-driven business world. By integrating advanced analytical tools and techniques, the program focuses on enabling strategic decision-making and long-term value creation for organisations globally.
The curriculum provides a comprehensive foundation in key areas such as:
● Data Interpretation: Extracting actionable insights from complex datasets.
● Data Visualization: Creating impactful dashboards and visual representations to support decision-making.
● Predictive Modeling: Using statistical and machine learning techniques to forecast trends and outcomes.
BBA in Business Analytics vs Traditional Analytics Programs
Aspect | BBA in Business Analytics | Traditional Analytics Program |
---|---|---|
Curriculum Structure | Industry-aligned AICPA-CBA standards; hands-on with tools like MS Excel, Tableau, and Python. | Often theoretical, focusing on basic tools. |
Career Outcomes | Globally recognised; sought after by MNCs and Fortune 500 companies. | Limited to local job markets. |
Learning Mode | Hands-on experience using real-world data sets. | Mostly classroom learning. |
Recognition | Recognized by global organisations for practical expertise. | Focuses more on academic knowledge. |
The program is highly interactive and includes practical exercises, case studies, and projects, allowing students to apply the concepts they have learned to real-world scenarios. It is taught by experienced faculty members who have deep expertise in the field of Data Analytics.
Interactive Lectures
The course will begin with interactive lectures delivered by experienced faculty, covering the basics of data analytics. Lectures will incorporate real-world examples to demonstrate the practical application of analytics tools and techniques. The lectures will also include hands-on demonstrations and interactive exercises to reinforce the concepts taught.
Hands-On Practical Lab Sessions
Students will have access to fully equipped computer labs with software such as Excel, Python, Tableau, Power BI, and SQL. These labs will provide students with a hands-on learning experience and enable them to practice the concepts taught in class. Faculty members will be present in the lab sessions to provide guidance and support.
Real-Life Data Sets
Students will have access to real-life data sets from various industries, enabling them to gain practical experience in data analysis. These data sets will be used in assignments, projects, and case studies, providing students with a realistic understanding of data analysis in a business context.
Assignments and Projects
Students will be assigned regular assignments and projects to complete outside of class time. The assignments will be designed to reinforce the concepts taught in class and provide practical experience in data analysis. The projects will be more comprehensive and will require students to use a variety of analytics tools and techniques to solve real-world business problems.
Master Classes
Guest lectures will be invited to the course to share their experiences and insights into the field of data analytics. These sessions will provide students with an opportunity to learn from experts in the field and gain a deeper understanding of the current trends and challenges in data analytics.
ELIGIBILITY
Students who have completed two-year Pre-University Course in Commerce/ Arts/ Science/ of Karnataka or Equivalent there to, are eligible to seek admission to three year under graduate programme BBA – Business Analytics. The students should have studied Mathematics/ Statistics/ Economics at PUC level.
SCOPE OF THE PROGRAM
The BBA students after completion of the program can take up middle level executive position in industry or pursue higher education – MBA, M.Com M.B.S, M.M.S. or any other Post Graduate or Professional Course like C.A, ICWA, ACS, ACCA, ICMA and CFA etc.
DURATION OF THE COURSE
The undergraduate degree should be of either a three or four-year duration, with multiple entry and exit options within this period, the four-year multidisciplinary Bachelor’s programme is the preferred option as it allows the opportunity to experience the full range of holistic and multidisciplinary education. The four-year programme may also lead to a degree with Research, if the student completes a rigorous research project in the major area(s) of study.
Thus the undergraduate programmes shall extend over four academic years Eight Semesters) with multiple entry and exit options. Each semester shall consist of at least 16 weeks of study with a minimum of 90 working days (excluding the time spent for the conduct of final examination of each semester).
MEDIUM OF INTSTRUCTION
The medium of Instruction and Examination shall be in English.
ATTENDANCE
- Each semester shall be taken as a unit for the purpose of calculating attendance.
- A student shall be considered to have satisfied the requirement of attendance for the semester, if she has a minimum of 75% attendance in each of the subjects, failing which the student will not be allowed to take up the End Semester Examination.
DISCIPLINE
- Discipline must be maintained on campus and in class.
- Insubordinate and rude behaviour will be strictly dealt with.
- Mobiles are banned on campus.
- Repeated violation of rules and unacceptable behaviour can lead to rustication.
DRESS CODE
The students are expected to conform to the dress code specified by the college management. BBA students are required to dress up formally wear a Blazer every day and must be in their formal uniform for all formal occasions and whenever they represent the college. Students will carry their Identity Cards at all times.
ASSESSMENT
For Discipline Specific Core Courses (DSC), Discipline Specific Elective Courses (DSE), and Language Courses (L1&L2).
Component | Parameters | Marks |
---|---|---|
C1 | Continuous Internal Assessment | |
Internal Assessment Test -1 | 10 | |
Seminars/Presentations/Activity | 10 | |
TOTAL- C 1 | 20 | |
C2 | Continuous Internal Assessment | |
Internal Assessment Test -2 | 10 | |
Case study /Assignment / Field work / Project work | 10 | |
TOTAL- C 2 | 20 | |
CIA TOTAL – C 1 + C 2 | 40 | |
C3 | Semester End Examination | 60 |
TOTAL – C 1 + C 2 + C 3 | 100 |
Semester I
NEP Category | Course Code | Course Title/th> | L/ T / P | Hours P/W | Marks | Total Marks | Credits | |
---|---|---|---|---|---|---|---|---|
CIA | ESE | |||||||
AECC | Lang.1.1 | Language – I | 3:1:0 | 03 | 40 | 60 | 100 | 3 |
AECC | Lang.1.2 | Language – II : General English | 3:1:0 | 03 | 40 | 60 | 100 | 3 |
DSC – 1 | BBA.1.1 | Business Management | 4:0:0 | 04 | 40 | 60 | 100 | 4 |
DSC – 2 | BBA.1.2 | Fundamentals of Accounting | 4:0:0 | 04 | 40 | 60 | 100 | 4 |
DSC – 3 | BBA.1.3 | Fundamentals of Business Analytics | 4:0:0 | 04 | 40 | 60 | 100 | 4 |
SEC – 1 : SB | BBA.1.4 | Information Technology for Managers | 1:0:2 | 02 | 25 | 25 | 50 | 2 |
OE – 1 | BBA.1.5 | Open Elective a. International Business Environment b. HR Analytics & Design Thinking c. Digital Marketing | 3:0:0 | 03 | 40 | 60 | 100 | 3 |
SEC-VB | BBA.1.6 | Health, Wellness & Yoga | 1:0:2 | 02 | 50 | 0 | 50 | 2 |
Sub- Total (Sem-1) | 25 | 315 | 385 | 700 | 25 |
Semester II
NEP Category | Course Code | Course Title/th> | L/ T / P | Hours P/W | Marks | Total Marks | Credits | |
---|---|---|---|---|---|---|---|---|
CIA | ESE | |||||||
AECC | Lang.2.1 | Language – I | 3:1:0 | 03 | 40 | 60 | 100 | 3 |
AECC | Lang.2.2 | Language – II : General English | 3:1:0 | 03 | 40 | 60 | 100 | 3 |
DSC – 4 | BBA.2.1 | Financial Accounting | 4:0:0 | 04 | 40 | 60 | 100 | 4 |
DSC – 5 | BBA.2.2 | Business Economics | 4:0:0 | 04 | 40 | 60 | 100 | 4 |
DSC – 6 | BBA.2.3 | Statistical Decision Making for Business Analysis | 4:0:0 | 04 | 40 | 60 | 100 | 4 |
OE – 2 | BBA.2.4 | Open Elective a. International Business Environment b. HR Analytics & Design Thinking c. Digital Marketing | 3:0:0 | 03 | 40 | 60 | 100 | 3 |
AECC | BBA.2.5 | Environmental Studies | 2:0:0 | 02 | 20 | 30 | 50 | 2 |
SEC-VB | BBA.2.6 | Sports/ NCC/ NSS / R&R (S&G)/ Cultural | 0:0:4 | 02 | 50 | – | 50 | 2 |
Sub- Total (Sem-2) | 25 | 310 | 390 | 700 | 25 |
Semester III
NEP Category | Course Code | Course Title/th> | L/ T / P | Hours P/W | Marks | Total Marks | Credits | |
---|---|---|---|---|---|---|---|---|
CIA | ESE | |||||||
AECC | Lang.3.1 | Language – I | 3:1:0 | 03 | 40 | 60 | 100 | 3 |
AECC | Lang.3.2 | Language – II : General English | 3:1:0 | 03 | 40 | 60 | 100 | 3 |
DSC – 7 | BBA.3.1 | Corporate Accounting | 4:0:0 | 04 | 40 | 60 | 100 | 4 |
DSC – 8 | BBA.3.2 | Business Statistics | 4:0:0 | 04 | 40 | 60 | 100 | 4 |
DSC – 9 | BBA.3.3 | Data Visualization and Storytelling (Power BI & Tableau) | 4:0:0 | 04 | 40 | 60 | 100 | 4 |
OE – 3 | BBA.3.4 | Open Elective a. Essentials of Business Management b. Financial Planning and Wealth Management c. Cultural Diversity at Work Place | 3:0:0 | 03 | 40 | 60 | 100 | 3 |
SEC – 2 : SB | BBA.3.5 | Artificial Intelligence | 1:0:2 | 02 | 25 | 25 | 50 | 2 |
SEC-VB | BBA.3.6 | Sports/ NCC/ NSS / R&R (S&G)/ Cultural | 0:0:2 | 02 | 50 | – | 50 | 2 |
Sub- Total (Sem-3) | 25 | 315 | 385 | 700 | 25 |
Semester IV
NEP Category | Course Code | Course Title/th> | L/ T / P | Hours P/W | Marks | Total Marks | Credits | |
---|---|---|---|---|---|---|---|---|
CIA | ESE | |||||||
AECC | Lang.4.1 | Language – I | 3:1:0 | 03 | 40 | 60 | 100 | 3 |
AECC | Lang.4.2 | Language – II : General English | 3:1:0 | 03 | 40 | 60 | 100 | 3 |
DSC – 10 | BBA.4.1 | Cost Accounting | 4:0:0 | 04 | 40 | 60 | 100 | 4 |
DSC – 11 | BBA.4.2 | Financial Management | 4:0:0 | 04 | 40 | 60 | 100 | 4 |
DSC – 12 | BBA.4.3 | Application of Business Analytics (Python) | 4:0:0 | 04 | 40 | 60 | 100 | 4 |
SEC – 3 | BBA.4.4 | Financial Literacy & Investment Awareness | 1:0:2 | 02 | 25 | 25 | 50 | 2 |
AECC | BBA.4.5 | Indian Constitution | 2:0:0 | 02 | 40 | 60 | 100 | 2 |
SEC-VB | BBA.4.6 | Sports/ NCC/ NSS / R&R (S&G)/ Cultural | 0:0:4 | 02 | 50 | – | 50 | 2 |
Sub- Total (Sem-4) | 24 | 295 | 355 | 650 | 24 |
Semester V
NEP Category | Course Code | Course Title/th> | L/ T / P | Hours P/W | Marks | Total Marks | Credits | |
---|---|---|---|---|---|---|---|---|
CIA | ESE | |||||||
DSC-13 | BBA.5.1 | International Business | 4:0:0 | 04 | 40 | 60 | 100 | 4 |
DSC-14 | BBA.5.2 | Production and Operation Management | 4:0:0 | 04 | 40 | 60 | 100 | 4 |
DSC – 15 | BBA.5.3 | Financial Statement Analysis | 4:0:0 | 04 | 40 | 60 | 100 | 4 |
DSE-1 | BBA.5.4 | Operation Research | 4:0:0 | 04 | 40 | 60 | 100 | 3 |
DSE-2 | BBA.5.5 | Storing, Processing and Querying Business Data (SQL) | 4:0:0 | 04 | 40 | 60 | 100 | 3 |
VOC-1 | BBA.5.6 | Taxation-1 | 4:0:0 | 04 | 40 | 60 | 100 | 3 |
SEC – 4 CRT | BBA.5.6 | Campus Recruitment Training | 1:0:2 | 02 | 25 | 25 | 50 | 2 |
Sub- Total (Sem-5) | 25 | 265 | 385 | 650 | 23 |
Semester VI
NEP Category | Course Code | Course Title/th> | L/ T / P | Hours P/W | Marks | Total Marks | Credits | |
---|---|---|---|---|---|---|---|---|
CIA | ESE | |||||||
DSC-16 | BBA.6.1 | Services Marketing | 4:0:0 | 04 | 40 | 60 | 100 | 4 |
DSC-17 | BBA.6.2 | Business Law | 4:0:0 | 04 | 40 | 60 | 100 | 4 |
DSC – 18 | BBA.6.3 | Strategic Management | 4:0:0 | 04 | 40 | 60 | 100 | 4 |
DSE-3 | BBA.6.4 | Modern Retail Management | 4:0:0 | 04 | 40 | 60 | 100 | 3 |
DSE-4 | BBA.6.5 | AI – ML and its Business Applications – I | 4:0:0 | 04 | 40 | 60 | 100 | 3 |
VOC-2 | BBA.6.6 | Taxation-2 | 3:0:0 | 04 | 40 | 60 | 100 | 3 |
SEC – 4 INTERN | BBA.6.7 | Internship | 0:0:4 | 02 | – | 50 | 50 | 2 |
Sub- Total (Sem-6) | 26 | 240 | 410 | 650 | 23 |
- Integrated Analytics Training: Align your coursework with BBA in Business Analytics and Intelligence standards and develop practical skills in MS Excel, Tableau, and Python.
- Global Recognition: Gain skills that are highly demanded across top Indian MNCs, Fortune 500 companies and international markets.
- Career Opportunities: Build a foundation for analytics roles with top Indian MNCs and global organisations.
- Comprehensive Curriculum: Study essential topics such as statistical decision-making, data visualisation, and AI-ML business applications.
- Hands-On Learning: Work with real-world data sets and industry-aligned projects to bridge the gap between theory and application.
The partner for this learning program is Miles Education, to know more click here: https://www.mileseducation.com/
Progression & Coursework Students cover the BBA in Business Analytics coursework integrated into their university curriculum:
Semester | Focus Area |
---|---|
SEM 1 | Fundamentals of Business Analytics |
SEM 2 | Statistical Decision-Making and Analysis |
SEM 3 | Data Visualisation and Storytelling Techniques |
SEM 4 | Applications of Business Analytics with Python |
SEM 5 | Storing, Processing& Querying Business Data |
SEM 6 | AI-ML and Business Applications |
● Data Scientist: Conduct complex data analysis to drive organisational growth.
● Quantitative Analyst: Support financial decision-making using advanced analytics.
● Business Analytics Manager: Develop and implement data-driven strategies.
● Marketing Analyst: Analyse market trends to optimise campaigns.
● Project Manager: Lead analytics-focused projects aligning with business goals.
● Big Data Analyst: Extract actionable insights from extensive datasets.
Your Journey Starts Here
Embark on a journey to become a global analytics expert. With Miles Education’s BBA in Business Analytics at Mount Carmel College, Bangalore, you’ll graduate with a degree, professional expertise, and the skills to set you apart in competitive markets worldwide.