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Bachelor of Commerce (Data Science)

Bachelor of Commerce (Data Science) is one of the fastest growing sectors in the world, having multiple uses across a wide range of organizations and businesses. Data science is amongst the most highly paid jobs in the world and the role of data analysts has become crucial to the sustenance of business. There is a huge demand for data experts in IT as well as non-IT sectors such as finance, insurance, banking and e-commerce.

Graduates in commerce have a unique approach towards analytics because of their strong quantitative skills and understanding of business operations. Consequently, finance professionals with skills in data analysis are considered highly competitive in the industry. An additional knowledge in Data Science can therefore boost the career prospects of commerce graduates by improving their employability and decision making skills.

duration

3/4 Years (6/8 Semesters)

Programme type

Full time

Programme Regulations

Programme Structure 2024

Eligibility Criteria

Candidates should have passed in PUC/12th Grade or Equivalent examination from a recognized board.

Key Features

  • Students will improve their understanding of data and learn how to use, analyze, and utilize data effectively for business purposes.
  • Students will learn to organize information efficiently and analyze using appropriate software and tools.
  • Students will acquire skills for data-driven decision-making.
  • Students will be able to use the essentials of data-science and understand data analytics modeling.
  • Students will be able to perform forecasting and predictive analytics.
  • Students will be conversant with basic data visualization techniques and will be capable of learning advanced techniques.
  • Students will be able to work on business applications of emerging technologies.

Scope and Objective

  • Students will improve their understanding of data and learn how to use, analyze, and utilize data effectively for business purposes.
  • Students will learn to organize information efficiently and analyze using appropriate software and tools.
  • Students will acquire skills for data-driven decision-making.
  • Students will be able to use the essentials of data-science and understand data analytics modeling.
  • Students will be able to perform forecasting and predictive analytics.
  • Students will be conversant with basic data visualization techniques and will be capable of learning advanced techniques.
  • Students will be able to work on business applications of emerging technologies.

Programme Structure

  • 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)
  • Financial Accounting-II
  • Business Statistics
  • Fundamentals of Database Management System and SQL
  • Advance excel
  • Common Core
  • Hindi/Kannada/English/FL-French/German/Korean/Spanish
  • Oral and Written Communication
  • Community Service-II (COS-II) *
  • Career Preparedness Program-I (Personal Effectiveness + Prepare for Aptitude Tests-I )
  • 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 Program-II (Career essentials + Prepare for Aptitude Tests-II )
  • Financial Management
  • Data Analytics using Python
  • Python Programming LAB
  • Income Tax
  • Law and Practices
  • Tally
  • Common Core
  • Environment and Sustainability
  • Critical Inquiry
  • Career Preparedness Program-III (Career effectiveness + Prepare for Aptitude Tests-III )
  • Management Accounting
  • Auditing and
  • Corporate
  • Governance
  • GST & Indirect Taxes
  • Elective-1
  • Data Analysis with R
  • MOOC-2
  • Internship II†(SIP)
  • Common Core
  • Ethics & Values
  • Career Preparedness Program -4 (Strategies for Self-management (SSM))
  • Data Visualization for Analysis
  • Modeling using AMOS LAB
  • Internship I† (CIP)
  • Internship II†† (SIP)
  • Capstone
  • Community Service -I (COS-I)*
  • Community Service – II (COS-II)*
  • Community Service – III (COS-III)*
  • Applied Predictive Analytics
  • Macro Economics
  • Advanced Research Methodology
  • Data Analytics
  • Thesis – I
  • MOOC-3
  • Project Appraisal and Financial Planning
  • Enterprise Resource Planning and MIS
  • Cloud Computing & Internet of things
  • Statistics with R
  • Thesis – II
  • MOOC-4
  • Applied Predictive Analytics
  • Macro Economics
  • Advanced Research Methodology
  • Data Analytics
  • Thesis – I
  • MOOC-3
  • Enterprise Resource Planning and MIS
  • Cloud Computing & Internet of things
  • Data Warehousing & Data Mining
  • Project Appraisal and Financial
  • Planning
  • Thesis – II
  • MOOC-4

Programme Assessment

  • Choice-Based Credit System (CBCS):The university operates on a Choice-Based Credit System (CBCS), allowing students the flexibility to select courses based on their preferences and earn credits according to their performance.
  • Grades and GPA: Students receive grades for each course in a semester, and their Semester Grade Point Average (SGPA) is computed to gauge academic performance. The Cumulative Grade Point Average (CGPA) is utilized to assess overall performance across all semesters.
  • Internship: All students enrolled in this program are mandated to participate in an internship during the fifth and sixth semesters, providing practical exposure and hands-on experience.
  • Evaluation Process: The assessment of students is comprehensive and continuous throughout the semester, encompassing Continuous Internal Evaluation (CIE) and Semester End Examination (SEE). CIE and SEE contribute equally to the total evaluation, each carrying a weightage of 50%, resulting in a total of 100 marks for each course, regardless of its credit value.
  • Assessment Methods: Prior to each semester, faculty members may select assessment methods such as assignments, seminars, quizzes, group discussions, case studies, practical activities, class presentations, industry reports, etc., assigning appropriate weightage to each.
  • By adhering to these principles, the university aims to provide a holistic and flexible learning experience for students, emphasizing practical application through internships and maintaining a robust evaluation system that combines continuous internal assessment with comprehensive semester-end examinations.

Programme Outcome

  • PSO 1:Students will improve their understanding of data and learn how to use, analyze, and utilize data effectively for business purposes.
  • PSO 2: Students will learn to organize information efficiently and analyze using appropriate software and tools.
  • PSO 3:Students will acquire skills for data-driven decision-making.
  • PSO 4: Students will be able to use the essentials of data-science and understand data analytics modeling.
  • PSO 5: Students will be able to perform forecasting and predictive analytics.
  • PSO 6:Students will be conversant with basic data visualization techniques and will be capable of learning advanced techniques
  • PSO 7: Students will be able to work on business applications of emerging technologies.

Course Outcomes


B.Com(Data Science) Course Outcomes

What expertise will you gain?

Data Analysis and Visualization

Statistical Methods for Business

Machine Learning and Predictive Modeling

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 Opportunity

  • Data Analyst
  • Data Scientist
  • Business Intelligence Analyst
  • Financial Analyst
  • Machine Learning Engineer
  • Data Engineer
  • Data Consultant
  • Statistical Analyst
  • Risk Analyst
  • Operations Research Analyst
  • Data Administrator
  • Business Analyst
  • Data Analytics
  • Manager Business
  • Intelligence Manage
  • Data Architect

Placements at

CMR University

200+ Recruiters, Pre-Placement modules from first semester focus on employability, emphasis on experiential learning, extensive focus on Internships, Training for competitive examinations – CAT, GRE, TOEFL, CMAT, Bank PO, and more.

Testimonials

"I loved the infrastructure of CMR University and its management. As a club coordinator I learnt how to manage team and the events helped me to grow my confidence level. I would like to specially thank the placement cell for guiding me and providing me a good platform (company) for my career."

Radheshyam Thakur

BCA

"I loved the infrastructure of CMR University and its management. As a club coordinator I learnt how to manage team and the events helped me to grow my confidence level. I would like to specially thank the placement cell for guiding me and providing me a good platform (company) for my career."

Radheshyam Thakur

BCA

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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 recognized by the government and follows all necessary regulations.

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

Want to know more about CMRU?

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