B.Sc. - Data Science

Power Your Career to New Heights Beyond Human Limits with AI

About Course

  • Location - GHRSTU Nagpur
  • Duration -3 years (2 sem per year)
  • Course Type - Full time
  • Affiliated - UGC

The B.Sc. in Data Science program provides a deep understanding of AI principles, techniques, and applications. Students learn about machine learning, deep learning, neural networks, and data analytics. The curriculum combines theoretical knowledge with practical skills through projects, labs, and internships. Key topics include natural language processing, computer vision, and AI ethics. The program prepares students to develop innovative AI solutions and apply them across various industries, from healthcare to finance.

Objectives of Program

  • To provide students with a comprehensive understanding of data analysis, statistical methods, and machine learning.
  • To develop practical skills in using data science tools and technologies for solving complex problems.
  • To prepare students for a variety of roles in data science and analytics across different industries.

Future in B.Sc. - Data Science

  • The data science industry is expected to grow significantly, with a 28% increase in job opportunities by 2026 in India.
  • Data scientists are among the highest-paid professionals, with salaries increasing by 20% annually.
  • Emerging technologies like AI and big data analytics are set to enhance data science capabilities.

Eligibility

  • Candidates should have completed 10+2 (SSC and HSC) or equivalent with a science stream (Physics, Chemistry, Biology/Mathematics, English).
  • Candidates must have a minimum of 45% aggregate marks in HSC for open-category and 40% for reserved-category.

Study at GHRSTU for a successful future & drive your career in the right direction with our B.Sc. - Data Science Programs

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Admission Procedure

Admission shall be through the Centralised Admission Process (CAP). Educational institutions will admit candidates through stages such as publishing the Information Brochure on the Competent Authority's website, which candidates should read carefully. Candidates must fill out the Online Application Form according to the notified schedule for respective admissions. For detailed information, refer to the Information Brochure for Admission to Undergraduate Technical Courses by DTE Maharashtra.

CAP Admission Process
  • Registration
  • Document verification
  • Filling out the application form
  • Release of merit list
  • Allotment of College(Freeze, Slide, Float)
  • Report to College along with DTE allotment letter, original documents and prescribed fees for Actual Admission
Documents Required

Candidates must submit the following self-attested documents (Original + 2 Sets of Photocopies) along with the application form:

  • DTE Registration Letter
  • DTE Allotment Letter (for CAP)
  • Entrance Exam Score Card
  • SSC (Std. X) Mark sheet
  • HSC (Std. XII) Mark sheet
  • Diploma Mark Sheet/Certificate (if applicable)
  • Provisional Degree (if applicable)
  • College Leaving Certificate / Transfer Certificate
  • Eligibility Certificate (for candidates from outside Maharashtra)
  • Domicile Certificate
  • Nationality Certificate
  • Enrolment Form
  • Any other document mentioned as per DTE
  • PAN Card & Aadhar Card Photocopy
  • Bank Passbook Photocopy (Aadhar linked A/C Number)

Technical Skills that you will learn

  • Python Programming
  • R Programming
  • SQL Databases
  • Data Visualization Tools (e.g., Tableau, Power BI)
  • Machine Learning Algorithms
  • Statistical Analysis
  • Data Cleaning and Preparation
  • Predictive Analytics
  • Big Data Technologies (e.g., Hadoop, Spark)
  • Data Warehousing

Careers

Job Opportunities

Graduates of the B.Sc. in Data Science program can pursue various career paths, including:

Entry Level:
  • Data Analyst
  • Junior Data Scientist
  • Data Technician
Mid Level:
  • Data Scientist
  • Data Engineer
  • Business Intelligence Analyst
Senior Level:
  • Senior Data Scientist
  • Data Analytics Manager
  • Lead Data Engineer
Further Studies Options
  • M.Sc. (Master of Science) in Data Science or related fields.
  • MBA (Master of Business Administration) with a focus on Data Science and Analytics.
  • PhD (Doctor of Philosophy) in Data Science or research-focused programs aimed at advancing knowledge in data science.
  • Specialised Certifications: Eg: Certified Data Scientist, Certified Analytics Professional, TensorFlow Developer Certificate.

FAQs

What does the course cover?

The B.Sc. in Data Science teaches students how to analyze data, use machine learning, and understand statistics. It also includes learning how to visualize data, program in Python and R, and work with big data technologies. Practical projects and internships are also part of the course.

Starting salaries for B.Sc. Data Science graduates in India usually range from ₹2.5 to ₹4.5 lakh per annum. The exact salary can depend on the job role, location, and the student's skills and experience.

Students learn how to analyze and visualize data, use statistical methods, program in Python and R, and apply machine learning techniques. They also gain practical experience with real data through projects.

To join a B.Sc. in Data Science program, you generally need a high school diploma with good grades in maths and statistics. Some schools may also require entrance exams or specific subjects.

After completing the degree, you can work as a Data Analyst, Data Scientist, Business Analyst, Machine Learning Engineer, or Data Engineer. There are job opportunities in many fields like technology, finance, healthcare, and more.

The course is assessed through exams, practical assignments, and projects. Students may also be evaluated based on their work during internships and presentations.

Useful certifications for graduates include Microsoft Certified: Data Scientist, Google Cloud Professional Data Engineer, and various courses in machine learning and data analytics from platforms like Coursera and edX.

Skills that can lead to better-paying jobs include advanced machine learning techniques, strong data analysis and statistical skills, proficiency in Python and R, and experience with big data technologies. These skills are in high demand.
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