Students master programming languages along with Python and R, enabling them to govern and analyze massive information sets. The program emphasizes practical experience through palms-on projects, fostering an in-depth understanding of statistics visualization, statistical modeling and predictive analytics
Core additives of the path include database management, facts mining and information ethics, making sure graduates are properly-versed in coping with real-world records challenges responsibly The path also consists of statistics technology applications in various industries along with finance, healthcare and technology.
Stage | Key Steps |
---|---|
Preparation | Research universities, check eligibility criteria, gather required documents. |
Application | Complete the online application, submit academic transcripts, test scores, and personal statement. |
Selection | Universities assess your application based on academic merits, test scores, and personal statement. |
Interview (Optional) | Some universities may conduct interviews to evaluate your communication skills and motivation. |
Offer & Acceptance | Receive an offer letter, carefully review its terms, and accept if it aligns with your goals. |
Educational Qualifications:
Minimum Percentage:
Subject Requirements:
Entrance Examinations:
Interviews or Personal Statements:
JEE Advanced (Joint Entrance Examination Advanced):
IISER Aptitude Test (IAT):
BITSAT (Birla Institute of Technology and Science Admission Test):
KVPY (Kishore Vaigyanik Protsahan Yojana):
SET (Symbiosis Entrance Test):
NPAT (National Test for Programs After Twelfth):
Semester | Syllabus Name | Content |
---|---|---|
1 | Introduction to Data Science | Gain fundamental understanding of the data science field, exploring its applications, tools, and ethical considerations. Learn basic data mining and wrangling techniques. |
Mathematics for Data Science | Dive into essential mathematical concepts like linear algebra, calculus, and probability theory, building a strong foundation for statistical analysis and machine learning algorithms. | |
Programming for Data Science | Master Python, a popular language in data science, focusing on data structures, algorithms, and libraries like NumPy and Pandas for data manipulation and analysis. | |
2 | Statistics and Probability | Deepen your grasp of statistical concepts like hypothesis testing, regression analysis, and time series analysis, learning to draw meaningful conclusions from data. |
Computer Science Fundamentals | Explore the fundamentals of computer science, including algorithms, data structures, and object-oriented programming, to understand how computers process and analyze data. | |
Introduction to Databases | Learn about database management systems (DBMS) and SQL, the language for querying and manipulating data stored in databases. | |
3 | Machine Learning & Artificial Intelligence | Delve into the fascinating world of machine learning, covering supervised learning (e.g., regression, classification), unsupervised learning (e.g., clustering), and deep learning concepts. |
Big Data Analytics | Understand the challenges and techniques for handling large datasets, including distributed computing frameworks like Hadoop and Spark. | |
Data Visualization & Communication | Learn effective data visualization techniques using tools like Tableau and Power BI to communicate insights from data to a broader audience. | |
4 | Elective Courses | Choose specialized courses based on your interests, such as natural language processing, computer vision, data security, or data ethics. |
Project Work | Apply your acquired knowledge and skills to real-world data science projects, working on problem formulation, data analysis, model development, and evaluation. | |
Internship (Optional) | Gain valuable industry experience through an internship with a data science-related company or organization. |
Tabulated below is the collection of the Top 10 Bachelor of Science [B.Sc] (Data Science) Colleges in India with Fee Structure, including their key features.
Name of the institute | Fees |
---|---|
Maulana Abul Kalam Azad University of Technology | INR 140,300 |
Sharda University | INR 2,540,649 |
M.S. Ramaiah University of Applied Sciences | INR 1,271,500 |
Shri Ramswaroop Memorial University | INR 180,000 |
Roorkee College of Engineering | INR 149,000 |
Sri Ramachandra Medical College | INR 2,200,000 |
Presidency University | INR 300,000 |
Inspiria Knowledge Campus | INR 120,000 |
Symbiosis Skills & Professional University | INR 262,700 |
Meghnad Saha Institute of Technology | INR 272,533 |
Check Eligibility:
Application Form:
Entrance Exam:
Merit-Based Admission:
Interview or Counseling:
Submission of Documents:
Payment of Fees:
Orientation and Registration:
Tabulated below is the collection of the Top 6 Government Bachelor of Science [B.Sc] (Data Science) Colleges in India with Fee Structure, including their key features.
Name of the institute | Course Name | Fees |
---|---|---|
Maulana Abul Kalam Azad University of Technology | Master of Business Administration [MBA] | INR 140,300 |
Sardar Beant Singh State University | Bachelor of Technology [B.Tech] | INR 110,580 |
KES Shroff College of Arts and Commerce | Bachelor of Commerce [B.Com] | INR 131,315 |
Jagat Guru Nanak Dev Punjab State Open University | Bachelor of Commerce [B.Com] (Digital) | -- |
Sri Ramachandra Medical College | Master of Chirurgiae [M.Ch] | INR 2,200,000 |
Presidency University | Bachelor of Technology [B.Tech] | INR 300,000 |
Tabulated below is the collection of the Top 10 Private Bachelor of Science [B.Sc] (Data Science) Colleges in India with Fee Structure, including their key features.
College | Average CTC (INR Lakhs) |
---|---|
Indian Institute of Technology (IIT) Bombay | 22-25 |
Indian Institute of Technology (IIT) Delhi | 20-23 |
Indian Institute of Technology (IIT) Bangalore | 18-22 |
International Institute of Information Technology (IIIT) Hyderabad | 15-18 |
Indian Institute of Science (IISc) Bangalore | 14-17 |
Delhi University | 8-12 |
University of Pune | 7-10 |
Christ University, Bangalore | 6-8 |
Specialization | Average Salary (INR Lakhs) |
---|---|
Natural Language Processing (NLP) | 15-20 |
Computer Vision | 14-18 |
Data Security & Privacy | 12-16 |
FinTech | 10-14 |
Healthcare Analytics | 9-12 |