Programme Duration
- 4 years
Eligibility
- 10+2 Pass (any stream), Candidate Appearing for Class 12 th can also apply
Programme Fee
-
4,35,000/-4,10,000/-
Internship Opportunity
Internship opportunities for B.Sc. Data Science students can vary based on the specific requirements of the industry and the skills emphasized in the program. However, here are some common areas where B.Sc. Data Science students may find internship opportunities:
- Data Analysis Intern
- Machine Learning Intern
- Data Engineering Intern
- Business Intelligence Intern
- Data Governance and Compliance Intern
- Data Science Research Intern
- Database Management Intern
- Cybersecurity Intern
- Healthcare Analytics Intern
- Financial Analytics Intern
Job Role
B.Sc. Data Science graduates are equipped with a diverse skill set that makes them well- suited for various roles in the field of data science and analytics. Here are some common job roles that B.Sc. Data Science graduates may pursue:
- Data Analyst
- Data Scientist
- Business Intelligence Analyst
- Machine Learning Engineer
- Data Engineer
- Quantitative Analyst
- Research Scientist
- Healthcare Data Analyst
- Cybersecurity Analyst
- Market Research Analyst
- AI Product Manager
- Financial Analyst
B.Sc in Data Science - Program Overview
The realm of technology is witnessing the rise of data science as a pivotal field. Despite the substantial demand for professionals in this sector, there is a shortage of skilled individuals. Projections indicate a significant growth of approximately 27% in the field of data science in the upcoming years, with a substantial portion attributed to advancements in big data technology. The surge in tech start-ups, heightened reliance on technology for business operations, and the imperative to retain customers have collectively underscored the indispensability of data analytics. This trend has resulted in an increased interest among students to enroll in data science courses in Kolkata. Acknowledging this prevalent demand, IAER has introduced a B.Sc in Data Science course in Kolkata under MAKAUT.
This comprehensive course empowers students to cultivate skills in various areas such as data analytics, data mining, data security, statistics, machine learning, programming, algorithms, mathematics, and more. Participants learn to harness cutting-edge technologies for the analysis and management of large datasets. A key focus is placed on mastering the Python programming language. The program ensures industry exposure, providing students with opportunities to engage in portfolio-worthy projects. Additionally, students benefit from interactions with experts, receive guidance from industry leaders, and gain access to internship and placement assistance. IAER's B. Sc in Data Science course stands as a gateway for individuals aspiring to thrive in the dynamic landscape of data science.
Program Highlights
As a B.Sc. Data Science institution in Kolkata affiliated with MAKAUT, is designed to equip students with a comprehensive skill set to thrive in the dynamic and evolving field of data science. Here are the key highlights of the B.Sc. Data Science course:
Core Curriculum:
In-depth study of fundamental concepts in data science, including statistics, mathematics, and programming.
Specialized courses covering data analytics, machine learning, data mining, and database management.
Programming Proficiency:
Emphasis on programming languages essential for data science, with a focus on languages like Python and R.
Hands-on coding projects to develop practical programming skills.
Data Analysis and Visualization:
Training in advanced data analysis techniques to derive meaningful insights from complex datasets.
Visualization tools and techniques for presenting data-driven findings effectively.
Machine Learning and AI:
Comprehensive coverage of machine learning algorithms and techniques.
Practical application of artificial intelligence (AI) concepts in solving real- world problems.
Big Data Technologies:
Exposure to big data technologies such as Hadoop and Spark for handling and processing large datasets.
Understanding the challenges and opportunities presented by big data.
Database Management:
In-depth knowledge of database management systems (DBMS) and SQL.
Database design and implementation for efficient data storage and retrieval.
Data Security and Ethics:
Exploration of ethical considerations in data science.
Understanding data security measures and practices to protect sensitive information.
Practical Projects:
Opportunities to work on real-world projects and case studies.
Building a portfolio of practical projects showcasing analytical and problem- solving abilities.
Industry Exposure:
Collaboration with industry partners, guest lectures, and workshops by professionals in the field.
Internship opportunities to gain practical experience in a real-world data science environment.
Research Opportunities:
Encouragement for research activities and participation in ongoing data science research projects.
Exposure to the latest trends and advancements in the field.
Soft Skills and Communication:
Development of soft skills essential for effective collaboration and communication.
Presentation skills for conveying complex data-driven insights to diverse audiences.
Career Development:
Career counseling and guidance sessions.
Placement assistance and networking opportunities with potential employers.
The B.Sc. Data Science course is structured to provide a holistic education, combining theoretical knowledge with hands-on experience, preparing students for diverse roles in the data science landscape.
Fee Structure
| 1st Year 1,00,000 | 2nd Year 1,00,000 | 3rd Year 1,00,000 | 4th Year 60,000 |
Some of the top-notch companies who hire students from BSc in Data Science are:
- Amazon
- Yahoo
- Bing
- eBay
- Cognizant
- Dell
- HP
