What is this Dual Degree Program?

Dual Degree Program offers 2 courses (B.Com + Data Analytics). You get a course completion certificate from Jain University (Deemed to be) and also from Henry Harvin®

What is Data Analytics Course?

Data analytics is the collection, transformation, and organization of data in order to draw conclusions, make predictions, and drive informed decision making. Over 8 courses, gain in-demand skills that prepare you for an entry-level job.

Is Data Analytics Course hard?

Because the skills needed to perform Data Analyst jobs can be highly technically demanding, data analysis can sometimes be more challenging to learn than other fields in technology.

Is B.Com good for future?

B.Com. is the right course to pursue if you want to work in the ever-growing commerce industry of the country. There are many careers you can pursue, and most of these careers come with good salaries and benefits. But the most important thing to know is that you have to do the B.Com. course from the right college.

Is B.Com enough to get a job?

B.Com degree does not amount to much in terms of career prospects. One needs to be industry-ready to start work and be productive from day one of employment. There are a lot of options for commerce students which can be worthwhile and more fruitful.

Dual Degree in B.Com and Data Analytics Course- Henry Harvin®

Course 1: B.Com
Semester I
- English
- Financial Accounting - I
- Human Resource Management
- Quantitative Techniques /Clsp
- Mind Management and Human Values
- Language 1
Semester II
- English-2
- Financial Accounting - II
- Business Economics
- Marketing Management
- Entrepreneurship
- Language - 2
Semester III
- Corporate Accounting - I
- Banking and Financial Institutions
- Communicative English
- Negotiation Skills
- Management Information Systems
Semester IV
- Cost Accounting
- Financial Management
- Business Laws
- Environmental Studies
- Leadership Change Management
- Organizational Psychology / Applied Statistics
Semester V
- Income Tax
- Management Accounting
- Principles of Audit
Semester VI
- GST & Customs
- International Business
Course 2: Data Analytics
Semester I
- Mathematical Methods for Data Science
- Probability Distributions for Data Science
- Artificial Intelligence
- DBMS for Analytics
- Mathematical Methods for Data Science LAB
- Probability Distributions for Data Science LAB
Semester II
- Statistical Inference for Data Science
- Multivariate Techniques for Data Science
- Machine Learning Techniques
- Statistical Inference for Data Science LAB
- Multivariate Techniques for Data Science LAB
- Machine Learning Techniques LAB
- Research Publication I
Semester III
- Applied Regression Analysis
- Big Data Analytics
- Deep Learning
- Predictive Modeling with SAS
Semester IV
- Natural Language Processing / Reliability Modelling
- Computer Vision / Cloud Computing / Design and Analysis of Experiments
- Research Publication II
Complimentary Module 2: Resume Writing

Resume Writing
Complementary Module 1: Soft Skills Development
- Business Communication
- Preparation for the Interview
- Presentation Skills