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iM.Sc. IT in Data Science & Analytics

iM.Sc. IT in Data Science & Analytics

About This Program

Start Your Career in Data Science & Analytics

Start Your Career in Data Science & Analytics

The iM.Sc IT in Data Science & Analytics in Ahmedabad, Gujarat is a modern course designed for students who want to build a strong career in data and analytics. This program helps students learn how to collect, analyse, and understand data to make smart decisions in real-world industries.

This 5-year integrated course combines IT basics with advanced data science concepts like statistics, machine learning, and data visualization. Students learn how to work with data using tools and technologies that are widely used in industries like finance, healthcare, marketing, and IT.

With the rapid growth of data-driven industries in Ahmedabad and Gujarat, this course offers excellent career opportunities in the IT and analytics sector.

What is this Program?

The iM.Sc IT in Data Science & Analytics is a 5-year integrated degree program.

You will learn:

  • Data Science & Analytics
  • Programming (Python, R)
  • Statistics & Probability
  • Machine Learning Basics
  • Data Visualization Tools

Why Choose This Course in Ahmedabad, Gujarat?

  • High Demand for Data Professionals in IT industry
  • Growing IT and analytics sector in Ahmedabad
  • Hands-on Learning with real projects
  • Future-ready skills in data science and analytics

 

Course Highlights

FeatureDetails
Program LevelIntegrated Master’s Degree
Duration5 Years (10 Semesters)
Eligibility10+2 (Any Stream)
Learning ModePractical + Project-Based + Industry Mentorship
OutcomesIndustry-Ready Portfolio + Placement Support

Curriculum Structure (As per Official Syllabus)

Year 1: IT Basics & Programming

Semester 1

  • Introduction to IT
  • Programming Basics
  • Communication Skills
  • Computer Fundamentals

Semester 2

  • Web Development Basics
  • Database Introduction
  • Object-Oriented Programming
  • Basic Projects

Year 2: Core Development & Systems

Semester 3

  • Data Structures
  • Advanced Programming
  • Operating Systems
  • Software Development

Semester 4

  • Database Management
  • Statistics Basics
  • Data Analytics Introduction
  • Mini Project

Year 3: Data Science Fundamentals

Semester 5

  • Introduction to Data Science
  • Data Analysis Techniques
  • Python for Data
  • Probability & Statistics

Semester 6

  • Machine Learning Basics
  • Data Visualization
  • Data Mining
  • Project Work

Year 4: Advanced Data Analytics

Semester 7

  • Advanced Machine Learning
  • Big Data Technologies
  • Business Analytics
  • Data Engineering Basics

Semester 8

  • Predictive Analytics
  • Deep Learning Basics
  • Data Visualization Tools
  • Final Project

Year 5: Industry Training

Semester 9

  • Internship / Industry Training
  • Live Projects

Semester 10

  • Final Project Submission
  • Industry Exposure

Career Opportunities

After completing this course, students can work as:

  • Data Scientist
  • Data Analyst
  • Business Analyst
  • Machine Learning Engineer
  • Data Engineer
  • Analytics Consultant

Skills You Will Master

  • Data Analysis & Interpretation
  • Programming for Data Science
  • Machine Learning Techniques
  • Data Visualization
  • Problem Solving Skills

Final Outcome

By the end of this course, you will have:

  • Strong knowledge of data science concepts
  • Hands-on project experience
  • Industry-ready skills
  • Ability to solve real-world data problems

Why Choose Our University?

  • Modern labs and infrastructure
  • Experienced faculty
  • Industry-focused learning
  • Placement support
  • Real project experience

FAQ

What is the duration and structure of this integrated program?

This is a 5-year integrated course consisting of 10 semesters. It is designed to take students seamlessly from basic IT fundamentals to advanced Master’s-level expertise in Data Science without the need for a separate post-graduate admission.

Is Data Science & Analytics a sustainable career choice for the future?

Yes, it is one of the fastest-growing fields globally as every industry now relies on data to make decisions. Skilled professionals in this area enjoy high job security, competitive salaries, and the flexibility to work in sectors like finance, healthcare, or tech.

What is the primary difference between a Data Analyst and a Data Scientist?

A Data Analyst focuses on interpreting existing data to provide insights for business questions using visualization tools. A Data Scientist uses advanced coding, machine learning, and statistical modelling to predict future trends and build automated systems.

Can students from Commerce or Arts backgrounds apply for this course?

Yes, the program is open to 10+2 students from any stream. The curriculum is specifically structured to teach programming, logic, and the necessary mathematical concepts from the ground up, ensuring everyone can succeed regardless of their background.

What specific software and programming languages will I master?

You will gain hands-on proficiency in Python and R for data analysis, SQL for database management, and industry-standard visualization tools like Tableau and Power BI. These are the primary tools used by professionals in the global data industry.

Is this program available in Ahmedabad, and what are the benefits of the location?

Yes, the course is offered in Ahmedabad, Gujarat. The city is a rapidly expanding IT hub, providing students with excellent proximity to tech parks, start-ups, and GIFT City for internships and high-growth placement opportunities.

Do I need to have an advanced understanding of Mathematics before joining?

Prior advanced knowledge is not required. The program includes dedicated modules that teach you the specific statistical methods and linear algebra required for data science in a practical, easy-to-follow manner.

What kind of companies and industries hire graduates from this program?

Graduates are highly sought after by e-commerce giants, financial institutions, global consulting firms, and healthcare companies. Essentially, any organization that collects data needs experts to analyse it and improve their business outcomes.

How does the program provide practical, real-world experience?

The course is built around “learning by doing,” featuring multiple mini-projects and a major final-year project. Additionally, students undergo a dedicated semester of industry training to solve real business problems in a professional setting.

What support does the university provide for career growth and placements?

The university provides a dedicated placement cell that offers career counselling, resume building, and mock interview sessions. We actively partner with leading IT firms to ensure students are well-prepared for the competitive job market.