About BSc in Data Science (Homi Bhabha)
BSc in Data Science is a three-year graduate program offered by BSE Institute Ltd in collaboration with Homi Bhabha State University. It is a well-known fact that data Science is a recent but rapidly growing field providing students with exciting career paths.
The objective of the BSc in Data Science course is to enhance data management skills in students to create qualified future professionals in the field of data science.
The BSc in Data Science integrates a state-of-the-art curriculum with industry experience. This program includes learning tools like Jupyter Notebook, which is an open-source web application that will be used by participants to create and share documents that contain live code in Python, R and other programming languages, equations and visualizations.
Eligibility Criteria
- Student should have completed 10+2 education
- Student with minimum 60% score in HSC exam Student should have secured at least 60% in their HSC examination
- Student with HSC certification from recognized Board Student should have HSC certification from a recognized Board
Semester - I
- Introduction to Data Science
- Foundation of Computer Science
- C - Programming
- Data Analysis using R
- As offered by Arts and Commerce Faculty
- Hands On Training - Programming Lab
- Hands On Training - Data Analysis using R lab
- Indian Ethos & Management Thoughts
- English
- Environmental Science
- Community Engagement & Services (CES)
A – Discipline Specific Core (DSC1) (Major Mandatory)
B – Discipline Specific Core (DSC2) (Minor)
C – Open / Generic Elective (OE1)
D – Vocational Skill Courses (VSC 1)
E – Indian Knowledge System – I (IKS 1)
F – AEC /Language – I (L1)
G – Value Education Course (VEC 1)
H – Co-curricular Course (CC1)
Semester - II
- 3 Statistical Computing
- 4 Database Management System with NoSQL
- 3 Data Structures
- 4 OOPs using Java Programming
- As offered by Arts and Commerce Faculty
- Hands On Training
- Data Structures
- Hands On Training
- OOPs using Java Programming
- Science and Technology in Ancient India
- English
- Constitution of India
- Community Engagement & Services (CES)
A – Discipline Specific Core (DSC1) (Major Mandatory)
B – Discipline Specific Core (DSC2) (Minor)
C – Open / Generic Elective (OE2)
D – Vocational Skill Courses (VSC 2)
E – Indian Knowledge System – I (IKS 2)
F – AEC /Language – I (L1)
G – Value Education Course (VEC 2)
H – Co-curricular Course (CC2)
Semester - III
- 5 Mathematics for Scientists - I
- 6 Behavioral Data Analytics
- 5 Python Programming
- BSITMN305T and BSITMN305P
- 6 Big Data- I
- As offered by Arts and Commerce Faculty
- SEC 1 Excel and Advanced Excel
- Hindi / Marathi - I
- Sports Activities/NSS
A – Discipline Specific Core (DSC1) (Major Mandatory)
B – Discipline Specific Core (DSC2) (Minor)
C – Open / Generic Elective (OE3)
D – Skill Enhancement Course (SEC1)
E – AEC /Language – I (L2)
F – Co-curricular Course (CC3)
Semester - IV
- 7 Mathematics for Scientists - II
- 8 R Programming for Data Science
- 5 Data Mining
- 6 Big Data- II
- As offered by Arts and Commerce Faculty
- SEC 2: Threat & Management in Internet of Things (IoT)
- Hindi / Marathi - I
- Sports Activities/NSS
A – Discipline Specific Core (DSC1) (Major Mandatory)
B – Discipline Specific Core (DSC2) (Minor)
C – Open / Generic Elective (OE4)
D – Skill Enhancement Course (SEC2)
E – AEC /Language – I (L2)
F – Co-curricular Course (CC4)
Semester - V
- 9 Machine Learning
- 10 Data Visualization
- 11 Artificial Intelligence
- 1 Time Series Analysis
- 2 Probability and Statistics
- VSC3 Advance Statistical Computing
- (Hands On Training Related to DSE)
- Field Project(FP)
A – Discipline Specific Core (DSC1) (Major Mandatory)
B – Discipline Specific Elective (DSE2) (Major Elective)
D – Vocational Skill Courses (VSC3)
E -Field Project(FP)/Community Engagement and Service (CEP)
Semester - VI
- 12 Neural Networks
- 13 Deep Learning
- 14 Reinforcement Learning
- 3 Regression Analysis
- 4 Data Management
- VSC4: Supervisory Control and Data Accquistion(SCADA) System and Information Hiding techniques(Hands On Training Related to DSE)
- Field Project(FP)
A – Discipline Specific Core (DSC1) (Major Mandatory)
B – Discipline Specific Elective (DSC2) (Major Elective)
C – Vocational Skill Courses (VSC4)
D -Field Project(FP)/Community Engagement and Service (CEP)
Semester - VII
- 9 Machine Learning
- 10 Data Visualization
- 11 Artificial Intelligence
- 1 Time Series Analysis
- 2 Probability and Statistics
- VSC3 Advance Statistical Computing
- (Hands On Training Related to DSE)
- Field Project(FP)
A – Discipline Specific Core (DSC1) (Major Mandatory)
B – Discipline Specific Elective (DSE2) (Major Elective)
D – Vocational Skill Courses (VSC3)
E -Field Project(FP)/Community Engagement and Service (CEP)
Semester - VIII
- 17 Image and Video Analytics
- 18 Cloud Fundamentals and Cloud Security and Cryptography
- 6 Cyber Security Analysis and Countermeasures and Advanced Security Analysis
- On Job Training/Internship/Apprenticeship(OJT / FF )
A – Discipline Specific Core (DSC1) (Major Mandatory)
B – Discipline Specific Elective (DSE1) (Major Elective)
C – On Job Training/Internship/Apprenticeship(OJT / FF )
Program Highlights
Iconic Campus
Globally recognized
Learning Design
Cutting edge curriculum
Gateway to International opportunities
Expert faculties
BSc Data Science is a three-year undergraduate course, focusing on various aspects of data science and big data analytics. This course is suitable for students who wish to build a lucrative career in the domain of data science.
After the completion of BSc Data Science students will get enormous employment opportunities in the domain like data science, business intelligence, machine learning and computer science. Data science professionals are one of the fastest-growing and highest-paid professionals in India and worldwide.
The Admission Process to enroll in the BSc Data Science course at BSE Institute Ltd are as follows-
- Fill out the application form online at Click here or collect the form from our BSE Institute Limited in Kolkata.
- Appear for the aptitude test, where your basic competency will be tested and gauged.
- Get shortlisted for a personal interview round with our faculty.
- Acknowledge the offer letter and confirm your admission
Eligibility Criteria for BSc Data Science course:
- Students who have passed their HSC examination with a minimum of 60% from a recognized University
- Mathematics/ Statistics subject in HSC with 50% aggregate marks
- Eligibility 12th Pass
- Level Intermediate
- Duration 3 Years (Full Time)
- Location Mumbai
- Mode Classroom