Grow a Career in Data Analytics with Shiv Nadar University

  • 20Mar,2020

    What is Data Analytics?

    Data analytics is the science of analyzing raw data in order to make conclusions about that information. Many of the techniques and processes of data analytics have been automated into mechanical processes and algorithms that work over raw data for human consumption. 

    What Does a Data Analyst Do?

    A data analyst collects and stores data on sales numbers, market research, logistics, linguistics, or other behaviors. They regulate, normalize, and calibrate the data so that it can be easily extracted and used. They interpret data, analyze results by using statistical techniques and provide reports. Data Analysts usually, work with Data Scientists in both IT as well as management department. A data analyst salary usually averages from 4 – 6 lakh rupees per annum in India.

    Data Analytics at Shiv Nadar University

    Shiv Nadar University is one of the few institutions that provide courses on Data Analytics. In 2014 Shiv Nadar University set up The Big Data Analytics Center (BDAC) under the aegis of the School of Natural Sciences (SoNS), which is an interdisciplinary center for Big Data Analytics. The BDAC provides post-graduate diploma and Masters degree in Data Analytics for the young minds interested in this field.

    • The applicants should have either a four-year undergraduate degree in engineering/ mathematics/ statistics/ physics/ economics/ commerce or a Masters degree in mathematics/ physics/ statistics/ economics/ commerce, or a three-year undergraduate degree in mathematics/ statistics/ physics/ economics/ commerce plus two or more years of relevant industrial experience.
    • The applicants for executive education are expected to have at least five years of work experience.
    • The minimum eligibility criteria can be waived for exceptionally qualified profiles.

    Course Details

    The program consists of ten courses in the first and second semester. Out of ten courses, eight are core courses and two are elective courses. The elective courses will have a wide range in the big data analytics to suite the research interest of the student. The summer internship is for two months, based on available choices and the interest of the student. Third and fourth semesters will involve Master’s thesis.

    Tools Used: 
    • Statistical Package For The Social Sciences (SPSS)
    • Statistical Analysis System (SAS)

    Fee Structure:

    The detailed fee structure (in Rupees) for pursuing M.Sc. in Data Analyst at Shiv Nadar University is given below:

    Fee TypeSemester 1Semester 2Semester 3Semester 4
    Admission Fee
    Tuition and Special Fee
    Hostel Fee
    Student Activity Fee
    Refundable deposit

    In addition to the scholarship amount for each semester, up to 5 students, based on Director’s discretion, are eligible for teaching assistantships of Rs. 12,000 per month for working as a teaching assistant. This assistantship may continue up to a maximum of 4 semesters, subject to satisfactory performance evaluated continuously and compliance with all University regulations. 

    Here is the scholarship amount (in Rupees) for each semester:

    CourseSemester 1
    Semester 2
    Semester 3
    Semester 4
    M.Sc. in Data1,37,500


    Data Analysts are recruited by MNCs. Top organizations that recruit a Data Analyst are:

    • Amazon
    • Accenture
    • Deloitte
    • LinkedIn
    • IBM
    • Citrix
    • Flipkart
    • Walmart Labs
    • Oracle
    • Sapient
    • Wipro
    • Fractal Analytics 

    Here is a representation of various sectors that have adopted Data Analytics:

    Let's See Which City has adopted Data Analytics and by what percentage:

    Only a handful of institutions provide Data Analytics degree and Shiv Nadar is among them, which makes it unique. If you pursue your career in Shiv Nadar, you will get immense opportunities and success by opening numerous career paths.

    Read here, Top 12 Most Preferred Data Science Careers
    Also read, Difference between Data Science vs. Big Data vs. Data Analytics

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