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Programmes

B.Voc.—Business Process and Data Analytics Management

Offered by:

1. School of Contemporary Knowledge Systems

Specialization:

Business Process and Data Analysis

Duration:

Six semesters spread over three years

Eligibility :

10+2 or equivalent with Mathematics/Statistics as a compulsory subject

For More Information and to apply:

Email: admissions@cvv.ac.in

Admissions Toll-free:
1800-270-4888 or 75588 96000

Description:

Vocational or skill-based education is becoming increasingly significant with time. Bachelor of Vocation or B.Voc. is an emerging course in India that aims at providing adequate skills required for a particular trade to students. The three-year undergraduate programme is different from traditional academic programmes as it focuses on application-based studies rather than theoretical knowledge. One of the biggest advantages of pursuing a B.Voc. as compared to common degree courses is that a candidate has continued industry exposure and multiple exit points during the programme. Apart from this, the work experience students get during the course increases their chances of getting a job. At CVV, students also have the opportunity to explore and gain knowledge in other fields through Minor Courses besides their core subject.

Course Structure

Integral Features of the Programme
  • Industry collaboration for student interactions with industry experts, job skill training and placement.
  • Flexibility with provision for pre-defined multiple exits and re-entry points with certifications.

On the completion of all three years as per the course requisites, a student will be awarded the B.Voc. degree. A candidate exiting after completing the first year will be issued a Diploma Certificate and those wishing to move out on completing the second year will receive an Advanced Diploma Certificate. (Refer exit criteria).

  • The programme aims at providing students career opportunities in various domains like marketing, e-commerce, supply chain management, health care etc.
  • It provides vertical mobility for higher studies like M.Voc. (PG programme), Ph.D. etc.
  • Helps you develop the skills necessary to start a small business venture (start-up).

Domain-Specific Objectives

  • To equip the students for multiple job roles in the industry and also in the allied sectors, by imparting extensive industry-relevant skill-training.
  • To familiarise students with the industry environment and attitude, corporate work culture for better work efficiency and job sustainability.
  • To enhance proficiency in communication.
  • To equip the students with the necessary soft skills and life skills for smooth and effective functioning at the workplace.
  • To equip and encourage the students for start-up ventures using the emerging opportunities in the field of Data Analytics.

Job Prospects

  • Prospective Employers: IT companies, marketing companies, logistics companies etc.
  • Career Options: Junior Data Analyst /Trainee Analyst, Junior Process Analyst, Process Analyst, Data Mining Analyst, Process Developer, Data Analyst, Process designer and Process Developer.

Programme Structure

The curriculum has been meticulously designed based on inputs from industry experts and academicians. There are added credits for job skill components (60%) compared to the general education component (40%). There is provision for industry exposure in the form of visits, case studies, industry interface/interactions and for on the job skill-training in analytics companies. The curriculum facilitates participatory learning opportunities like workshops, seminars, projects, assignments etc.

Semester 1

 

COURSE TITLE

CREDITS

HOURS

Foundation

IKS 1

4

4

Core

Management Process and Organisation Behaviour

4

4

Core

IT for Business

4

4

Core

Business Statistics

4

4

Core

Computational Tools for Analytics

6

6

Proficiency

Sanskrit for Communication

4

4

Proficiency

English for Everyday Life

4

4

 

Total

30

30

Semester 2

 

COURSE TITLE

CREDITS

HOURS

Foundation

IKS 2

4

4

Core

Foundations of Business Process Management

4

4

Core

Introduction to Business Analytics

4

4

Core

Fundamentals of Database Management Systems

4

4

Core

Project 1

5

*

Minor 1

Choice Based

3

3

Proficiency

Sanskrit—A Language for Eternal Use

4

4

Proficiency

Conversational English—Lab

1

2

Self—Immersion

Yoga and Meditation

1

2

 

Total

30

27

Semester 3

 

  COURSE TITLE

CREDITS

HOURS

Foundation

IKS 3

4

4

Core

Managerial Skill Development

4

4

Core

Operations Research

4

4

Core

Financial accounting

4

4

Core

Introduction to Data Mining and Data Visualisation Techniques

6

6

Minor 2

Choice Based

3

3

Proficiency

Business Ethics and Indian Ethos

4

4

Proficiency

English Writing—Lab

1

2

 

Total

30

31

Semester 4

 

COURSE TITLE

CREDITS

HOURS

Foundation

IKS 4

4

4

Core

Econometrics: Methods and Tools

4

4

Core

Project Management Practices

4

4

Core

Predictive Analytics and Analysis of Algorithms

4

4

Core

Project 2

6

*

Minor 3 (Compulsory)

Research Methods

3

3

Proficiency

Introduction to Machine Learning

4

4

Self—Immersion

Introduction to Seva

1

1

 

Total

30

24

Semester 5

 

  COURSE TITLE

CREDITS

HOURS

Core

Web and Social Media Analytics

6

6

Core

Big Data Analytics

4

4

Elective 1

Marketing Analytics/ Operations Analytics

4

4

Elective 2

Financial analytics/ HR Analytics

4

4

Minor 4

Choice Based

3

3

Proficiency

Environmental Studies

3

3

Proficiency

Entrepreneurship development

3

3

Proficiency

Soft Skills & Personality development

3

3

 

Total

30

30

Semester 6

 

  COURSE TITLE

CREDITS

HOURS

Core

Marketing Strategy & Personal Branding

4

4

Core

Industry Project

6

*

Elective 3

Sports analytics / Legal Analytics

4

4

Elective 4

Learning Analytics / Healthcare Analytics

4

4

Minor 5

Choice based

3

3

Minor 6

Course Dissertation

3

3

Proficiency

Introduction to Cloud Computing

3

3

Proficiency

English for workplace

3

3

 

Total

30

24

Note: There will be seminars/webinars, workshops and projects, in addition to contact classes.


Learning Outcomes

Generating Industry-Ready Graduates with Professionalism and Expertise:

  • To perform efficiently the variety of prescribed jobs of multi-tasking nature in the field of Data Analytics 
  • To easily adapt to the corporate environment and work-culture and perform the job competently.
  • To initiate a start-up in Analytics and allied supporting sectors.

Exit Criteria

To be eligible for the award of the Bachelor's degree, a student must satisfy all the criteria listed below:

  • The student must obtain a grade of P or above (Grade Point 4 or above) in all the required courses. 
  • At the end of six semesters, the student must have successfully earned at least 180 credits. 
  • At the end of six semesters, the student must have a CGPA of 5.5 or above. 
  • The student must have met the completion requirements for all the Self-Immersion courses. 
  • As per UGC guidelines, there are multiple exit points for a candidate admitted to this course. If he/she completes all the six semesters as per the norms, he/she will be awarded the B.Voc. degree in Business Process and Data Analytics. If he/she completes the first four semesters successfully, he/she will receive an Advanced Diploma in Business Process and Data Analytics. If he/she completes the first two semesters successfully, he/she will receive a Diploma in Business Process and Data Analytics.

NSQF Level (National Skill Qualifications Framework)

Year

Skill Component Credits

General Component Credits

Exit Points/Awards

Level 7

III

36

24

B.Voc. Degree

Level 6

II

36

24

Advanced Diploma

Level 5

I

36

24

Diploma


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