Bachelor of Commerce | Data Science | Programmes at CMR University

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Bachelor of Commerce | Data Science

The Bachelor of Commerce (Data Science) programme is one of the fastest-growing fields globally, offering diverse applications across a wide range of industries and businesses. With Data Science recognised as one of the highest-paying professions, the role of data analysts has become increasingly crucial to business sustainability. There is significant demand for data experts not only in IT, but also in non-IT sectors such as finance, insurance, banking, and e-commerce.

Commerce graduates bring a unique perspective to analytics owing to their strong quantitative skills and sound understanding of business operations. As a result, finance professionals with data analysis capabilities are seen as highly competitive in the job market. Gaining expertise in Data Science significantly enhances the employability and decision-making skills of commerce graduates, opening up advanced career opportunities in data-driven roles.

Duration

3 years

Programme Type

Full-time

Programme Fees

Rs.55000/- per semester

Programme Regulations

2024-25

Programme Structure 2025

PDF) is currently under review by the Academic Council. The updated list will be shared once approved.

Eligibility Criteria

Candidates should have passed the PUC / 12th Grade or equivalent examination from a recognised board.

Scope & Objectives

Improve understanding of data and how to use, analyse, and interpret it for business applications.
Learn to organise information efficiently and analyse it using appropriate tools.
Acquire skills for data-driven decision-making.
Apply fundamentals of Data Science and understand analytics modelling.
Gain capabilities in forecasting and predictive analytics.
Learn basic data visualisation techniques and advance towards more complex tools.
Understand business applications of emerging technologies.

Programme Structure

Semester I

Financial Accounting – I
Introduction to Data Science
Business Economics (Micro-Economics)
Business Mathematics
Hindi / Kannada / English
Design Thinking (DTP)
Indian Constitution (INC)
Community Service – I (COS-I)

Semester II

Financial Accounting – II
Business Statistics
Fundamentals of Database Management Systems and SQL
Advanced Excel
Common Core
Hindi / Kannada / English / Foreign Language
Oral and Written Communication
Community Service – II (COS-II)*
Career Preparedness Programme – I (Personal Effectiveness + Prepare for Aptitude Tests – I)

Semester III

Cost Accounting
Artificial Intelligence
Corporate Accounting
Business Research Methods
MOOC – 1*
Internship I† (CIP)
Common Core
Arts & Philosophy
Disaster Management
Community Service – III (COS-III)*
Career Preparedness Programme – II (Career Essentials + Prepare for Aptitude Tests – II)

Semester IV

Financial Management
Data Analytics using Python
Python Programming Lab
Income Tax Law and Practices
Tally
Common Core
Environment and Sustainability
Critical Inquiry
Career Preparedness Programme – III (Career Effectiveness + Prepare for Aptitude Tests – III)

Programme Assessment

Choice-Based Credit System (CBCS): The university follows CBCS, which allows students to choose courses and earn credits based on their performance

Grades and GPA: Students are awarded grades for each course in a semester, and their Semester Grade Point Average (SGPA) is calculated to measure their academic performance. Cumulative Grade Point Average (CGPA) is used to evaluate the overall performance of a student across all semesters.

Prescribed Curriculum: Each program has a prescribed curriculum or Scheme of Teaching and Evaluation, which includes the required courses, laboratories, and other degree requirements. It also incorporates SWAYAM and Massive Open Online Courses (MOOCs) offered by reputed institutions.

Auditing Courses: Students have the option to audit courses, which allows them to gain additional exposure without the pressure of obtaining a grade. This can give them an advantage in placements.

Evaluation System: The evaluation of students is comprehensive and continuous throughout the semester. It consists of Continuous Internal Evaluation (CIE) and Semester End Examination (SEE). CIE and SEE carry equal weightage of 50% each, resulting in a total evaluation of 100 marks for each course, regardless of its credit value.

Assessment Methods: Before each semester, faculty members may choose assessment methods such as assignments, seminars, quizzes, group discussions, case studies, practical activities, class presentations, industry reports, etc., with suitable weightage for each.

Semester End Examination: A Semester End Examination is conducted for all registered courses at the end of each semester. However, some courses that already have Continuous Internal Evaluation may not require a SEE.

Makeup Examinations: Students who fail the Semester End Examination in one or more courses are eligible for makeup examinations, which provide an opportunity to retake the failed exams and improve their grades.

Programme Outcome

PSO 1: Improved understanding of data usage and analytics in business.
PSO 2: Ability to organise and analyse information using modern tools.
PSO 3: Skilled in data-driven decision-making.
PSO 4: Proficient in data analytics modelling.
PSO 5: Capability to perform forecasting and predictive analytics.
PSO 6: Familiarity with data visualisation techniques.
PSO 7: Exposure to emerging technologies and business applications.

Course Outcomes Visit

What expertise do you gain?

Data Analysis and Visualisation
Statistical Methods for Business
Machine Learning and Predictive Modelling
Business Intelligence Tools
Data Management and Databases
Data-Driven Decision Making
Programming for Data Science (Python, R)
Big Data Technologies
Business Analytics and Reporting
Ethics and Privacy in Data Science
Accounting principles and financial management
Business economics and commercial laws
Financial analysis and reporting
Business communication and presentation
Marketing principles and strategies

Career Opportunities

01
Data Analyst
02
Data Scientist
03
Business Intelligence Analyst
04
Financial Analyst
05
Machine Learning Engineer
06
Data Engineer
07
Data Consultant
08
Statistical Analyst
09
Risk Analyst
10
Operations Research Analyst
11
Data Administrator
12
Business Analyst
13
Data Analytics
14
Manager Business
15
Intelligence Manage
16
Data Architect

Placements at CMR University

How to apply?

Applicants must have completed their 10+2 / equivalent examination with a minimum of 50% aggregate marks.
The programme duration is three years.
Candidates can apply online at admissions.cmr.edu.in or walk in to the Admissions Office.
Visit www.cmr.edu.in for more details.

SCHOLARSHIP:

CMR Memorial Scholarship
CMR Merit Scholarship
CMR Leadership award
CMR Sports scholarship
Students can apply for outside – Govt. Scholarships.
Special quota for NCC/NSS and others are only through CET allotment.

DOCUMENTS:

Entrance Rank Card
Mark sheet of X & XII
Transfer Certificate
Conduct Certificate
Migration Certificate [if applicable]
Aadhar card copy
Photographs – 4 Nos
Department Facilities:”

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FAQs

At CMRU, we believe that creativity is the key competence required to excel in our complex world, where independent thinkers, product leaders, artists, designers, and innovators are the need of the hour. A Bachelor of Commerce in Data Science provides a fine balance of knowledge in Commerce and Data Science. Benefit from 100% placement assistance, ensuring a promising career. The program adopts a practical learning approach with internships, industry visits, and collaborations with start-ups, providing hands-on experience in ethical practices and technology. With a balanced curriculum focusing on 70% practical application and 30% classroom teaching, students gain a deep understanding of industry dynamics.

This program is skill-oriented, providing knowledge on all aspects of commerce, economics, taxation, accounting, auditing, and statistics while having an extended focus on data-driven decision-making and business analytics that prepares students for jobs in the finance, IT, ITeS, MIS, and BPO sectors. In addition to this, the students pursue industry-ready career enhancement courses or add-on courses like Executive Communication, SAP, Advance Excel, Business Data Analytics, Artificial Intelligence, Block Chain, Cyber Security, etc.

The duration of the programme is three years.

The admission process may vary depending on the institution, but generally, students must have completed their 10+2 or equivalent examination and secured a minimum of 50% aggregate marks in the examination.

Yes, students can pursue higher studies, such as an MBA, after completing their B.Com. degree.

Graduates of the programme can find employment in various fields, such as accounting, finance, marketing, and management, among others.

The programme is typically full-time, although some institutions may offer part-time options as well.

Yes, the programme typically includes internships or practical training opportunities to provide students with real-world experience.

Yes, the programme is recognised by the government and follows all necessary regulations.

The curriculum covers a wide range of subjects, including accounting, finance, marketing, and management, among others.

Bachelor of Commerce | Data Science