The B.Tech in Data Science program is designed to equip students with the skills and knowledge needed to work with large datasets, understand statistical methods, and apply machine learning algorithms to solve real-world problems. Data science is a rapidly growing field that combines computer science, statistics, and domain-specific knowledge to extract meaningful insights from complex data. This program prepares students for careers as data scientists, machine learning engineers, and data analysts across various industries such as finance, healthcare, e-commerce, and technology.

Course Duration
Duration: 4 years
Semesters: 8 semesters

Eligibility Criteria

To be eligible for admission into the B.Tech in Data Science program, candidates must meet the following criteria:

  • Educational Qualification: Completion of 10+2 with a science stream (Physics, Chemistry, Mathematics) from a recognized board.
  • Minimum Marks: Candidates must have secured at least 50% aggregate marks in their 10+2 examination.
  • Entrance Exam: Successful clearance of the GCSET (Global Computer Science Entrance Test).

Practical Training

The B.Tech in Data Science program emphasizes practical learning to prepare students for the industry. Students will engage in the following:

  • Data Analysis Projects: Hands-on experience with data manipulation, data cleaning, and data visualization using tools like Python, R, and SQL.
  • Machine Learning: Building and implementing machine learning algorithms such as regression, classification, clustering, and deep learning models.
  • Big Data Technologies: Working with tools like Hadoop, Spark, and NoSQL databases to handle and process large datasets.
  • Internships: Opportunities to work with leading companies in the data science domain, gaining real-world experience in analytics, predictive modeling, and machine learning.

Career Opportunities

Graduates of the B.Tech in Data Science program can pursue a variety of roles in the data science and analytics field:

  • Data Scientist: Analyzing and interpreting complex datasets to provide insights and predictions for business decision-making.

  • Machine Learning Engineer: Developing and deploying machine learning models to automate data-driven processes.

  • Data Analyst: Using statistical tools to interpret data, identify trends, and present findings to stakeholders.

  • Business Intelligence Analyst: Creating reports and dashboards to help businesses make data-driven decisions.

  • Big Data Engineer: Designing and managing systems that process large volumes of data efficiently.

  • AI Specialist: Applying artificial intelligence techniques to solve complex problems in areas such as natural language processing and computer vision.

Top Recruiters

  • Tech Companies: Google, Facebook, Amazon, Microsoft, Apple
  • Consulting Firms: Accenture, Deloitte, PwC, EY
  • Financial Institutions: JPMorgan Chase, Goldman Sachs, Citibank
  • Healthcare: Philips, GE Healthcare, Roche
  • E-commerce: Flipkart, Amazon, eBay
  • Startups: Data science-focused startups, fintech companies, and AI companies.

Why Choose Data Science?

  • High Demand: Data science professionals are in high demand due to the increasing reliance on data-driven decision-making in businesses and organizations.

  • Cutting-Edge Technologies: Exposure to the latest advancements in machine learning, artificial intelligence, and big data technologies.

  • Wide Career Scope: Data science offers diverse career opportunities across multiple sectors, including technology, healthcare, finance, and retail.

  • Lucrative Salaries: Data science roles are among the highest-paying positions in the tech industry.

How to Apply?

To apply for the B.Tech in Data Science program through GCSET:

Register

Complete the online registration form on the GCSET website.

Entrance Exam

Appear for the GCSET exam and secure a qualifying score

Counselling and Admission

Participate in the counselling process to choose your preferred institution.

Frequently Asked Questions (FAQs)

  • 1. What is the scope of B.Tech in Data Science?

    Graduates of this program can pursue careers in data analytics, machine learning, business intelligence, big data engineering, and artificial intelligence across industries like finance, healthcare, e-commerce, and technology.

  • 2. Is there any entrance exam for B.Tech in Data Science?

    Yes, candidates must appear for the GCSET entrance exam to secure admission to the B.Tech in Data Science program.

  • 3. What skills are required to excel in Data Science?

    Strong programming skills (Python, R), knowledge of statistical analysis, experience with machine learning algorithms, and the ability to work with big data technologies (Hadoop, Spark) are essential to succeed in data science.

  • 4. What are the career prospects after completing B.Tech in Data Science?

    Graduates can work as data scientists, machine learning engineers, data analysts, big data engineers, or AI specialists in companies worldwide, with competitive salaries and opportunities for growth.