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M.Sc. (Data Analytics)

  • Established in 2017, the programme offers an industry-aligned, student-centric curriculum designed to meet current market demands. The curriculum uses innovative teaching methods, providing content-focused, application-oriented learning in a flipped classroom format with flexible scheduling. The interdisciplinary approach emphasizes real-world applications and case studies, ensuring practical relevance. The program prepares students for successful careers with attractive salary packages..

  • State-of-the-Art Labs are equipped with a wide range of tools and technologie.
    • Big Data and Analytics: Hadoop, Spark, Hive, MongoDB, HBase, Tableau, PowerBI, and RStudio.
    • Development Frameworks and Languages: Node.js, Laravel Framework, JavaScript.
    • Development and Server Tools: Xampp server, Anaconda3 (Python 3.9.12 64-bit), MySQL Server 8.0.

  • Curriculum - The curriculum offers strong industry connections, enabling students to build professional networks and gain valuable insights from experienced professionals.It provides hands-on experience through a variety of projects, internships, and access to state-of-the-art analytical tools and technologies.
  • Internship with
    • ELGI Industries
    • Easy Design,
    • Zinnov Draup Management Consulting Private Limited
    • Roots Industry
    • Postulate Info Tech
    • Finsight Analytics LLP
  • Job Oriented Course
    • AWS Cloud
    • Power BI
  • Online Certification
    • Swayam NPTEL
    • ICT Academy
    • Coursera - online learning courses from top universities and industry leaders.

    Employment Rate

    Within graduation, an impressive 92% of our M.Sc. Data Analytics graduates find employment in data-related roles, reflecting the high demand for skilled data analysts and data scientists.

    Top Job Roles

    Graduates from our M.Sc. Data Analytics program pursue a variety of roles in data-driven fields. Here's a breakdown of the most common job roles and the percentage of alumni in each:

    • Data Analyst: 30%
    • Data Scientist: 25%
    • Business Intelligence Analyst: 15%
    • Machine Learning Engineer: 10%
    • Data Engineer: 10%
    • Other roles (Operations Analyst, Marketing Analyst, etc.): 10%

    Industry Distribution

    Our alumni work across diverse industries, demonstrating the versatility of a degree in data analytics. Here's the industry distribution for M.Sc. Data Analytics graduates:

    • Technology and Software: 40%
    • Consulting and Advisory: 15%
    • Financial Services: 20%
    • Healthcare and Pharmaceuticals: 10%
    • Other industries (Retail, Manufacturing, etc.): 15%

    Career Progression

    Many of our M.Sc. Data Analytics graduates achieve career progression quickly, with approximately 35% reaching senior-level or managerial positions within five years of graduation, indicating the strong potential for career advancement in data-related roles.

    Average Starting Salary

    The average starting salary for M.Sc. Data Analytics graduates is approximately $65,000 per year, with significant salary growth as they gain experience and specialize in specific areas.

    Advanced Degrees and Certifications

    A notable percentage of our graduates pursue advanced degrees or certifications to further their careers in data analytics. About 25% pursue advanced degrees such as a Ph.D. in Data Science or related fields, and 20% earn professional certifications like Certified Analytics Professional (CAP) or Microsoft Certified: Data Analyst Associate.

    Alumni Success Stories

    Our alumni network is extensive, providing valuable career support and mentorship. Many of our alumni have achieved notable success, including:

    • Leading data science teams in major technology companies
    • Developing innovative data-driven solutions for businesses
    • Launching successful data analytics consultancies or startups
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