M.Sc. in Data Science Admissions

Program Overview | Intake | Eligibility | Fees Structure | Selection Process | How to apply | For Inquiries

Important Dates

Online application website opens

23 February 2020

Last date for submission of online applications

15 April 2020

Entrance test

07 June 2020

Announcement of Merit List

12 June 2020

Commencement of Classes

TBD

Program Overview

Data science is a “concept to unify statistics, data analysis, machine learning and their related methods” in order to “understand and analyze actual phenomena” with data. In other words, the detailed study of the flow of information from structured and unstructured data available with an organization is called data science. It primarily involves obtaining the meaningful insights from the data which is processed through analytical study. The current era is becoming a digital space where each organization deals with large amount of structured and unstructured data on a daily basis. Evolving technologies are leading to cost saving solutions for storage and analysis of such large data. In the current era, for the career progression, one needs to understand the language of data through analytical skill. Hence, it is absolutely necessary nowadays, to develop manpower with a skill to perform data analysis to get meaningful information from the data of different domains such as banking and finance, insurance, agriculture, healthcare, retail, education, social media, manufacturing, transportation, entertainment and so on. As reported recently, with nearly 100,000 vacancies, India is the second biggest data analytics jobs hub after the US and demand for data science skill sets is increasing at a very fast pace.

The field of data science has witnessed an immense growth in recent years particularly due to the rise of internet and social media. The exploration of data science by the business world initially started with analysis of business data and hence emphasis was given for financial data analytics. With the increase of multimedia data such as image, video, audio and text, each domain as mentioned above, many a times needs to perform analysis of such multimedia big data. Hence the study of data science includes analysis of multimedia data along with other types of data such as business data and unstructured social media data. In our daily life, now we are capturing data from sources such as i) sensors used in various places like agricultural fields, shopping malls, ii) posts on social media, iii) digital images and videos captured in cell phones and iv) purchase transactions made through e-commerce.  Analysis of such big data which could be multimodal in nature is a huge challenge. Modern technologies in the areas of artificial intelligence (AI) and machine learning (ML) are now extensively used to get insights of such big data.

With the availability of modern technologies of data storage, cleaning and computing, the study of data science expanded beyond the boundaries of mathematics and statistics. In modern days the study of data science is constituted with the knowledge of mathematics, statistics and computer science. Data science brings together a lot of skills of these disciplines with adequate domain knowledge to help any organization find ways to i) take major business decisions, ii) reduce costs, iii) get in to new markets, iv) launch a new product or service, v) find the sentiment of the customers, vi) recruiting the best talent and so on.

With all these in mind, our new master’s program in Data Science starting July 2020, will not only include traditional data analysis skills but also incorporates other crucial skills to perform multimedia and big data analysis.The courses will focus on acquiring fundamental knowledge of mathematics, statistics and computer science. The curriculum will also include domain specific knowledge by incorporating courses in multimedia, business and finance. Techniques such as data processing, database management, machine learning along with tools such as Python, R and SAS are also included to enhance the technical and analytical skills. SAS based training to be imparted during the program encompasses building basic skills in analytical programming, advanced skills in data integration, machine learning, deep learning, artificial intelligence and big data visualization. SAS has variety of tools and applications that are part of the curriculum which enables students with industry ready skills. The SAS based courses are offered in mini project, outcome-oriented workshop mode to make the students hands-on with the challenges of data science. MSc. in Data Science program has been designed to provide students with a strong foundation in data management and analysis, and the necessary skills to succeed in data-analytics related job.

Degree Name: MSc. in Data Science

Duration: 2 Years (Four Semesters)

Characterization of the Program:  Intersection of Mathematics, Statistics, Programming, Big-Data and Machine Learning

Uniqueness of the Program: Hands on and Case Study based Program

The program primarily aims to cater to the following audience:

  1. Traditional Science/ Economics/ Engineering Graduates with good mathematical aptitude, basic programming skills and inclination towards data science.
  2. Professionals in the workplace who wish to improve their skills for the emerging jobs in data-science related fields

Program Objective

The primary objective of the MSc. in Data Science program is to develop skilled professional workforce that is prepared to address the increasing needs in the rapidly expanding area of big data analytics. The program aims to provide skills in quantitative data analysis, data mining, data modeling and prediction, data storage and management, big data processing, data visualization, multimedia big data, programming and communication skills.SAS based courses/ training and a large number of practical case studies have been integrated in the program to boost the learner confidence and market acceptability. The program also enables the students to obtain SAS global certification in many fields and the skills can be ratified and showcased through SAS international certification badges.

Intake

Total seats: 60

Eligibility

  • A Bachelor’s degree in Science from a recognized University with an aggregate of 60% or its equivalent as per the norms set by the degree granting institute/university in  Statistics, Mathematics, Physics, Computer Science or Economics OR
  • A Bachelor’s degree in Engineering or Technology from a recognized University with an aggregate of 60% or its equivalent as per the norms set by the degree granting institute/university in Computer Science, Information Technology, Electronics, Electronics & Communication or Electrical Engineering.

Candidates appearing in their final Degree examination and expecting to complete it by July 2020 may also apply. However, their final admission will be subject to the condition that they obtain an aggregate of 60% marks, or its equivalent as per the norms set by the degree granting institute/university. All admitted candidates have to submit their degree certificates or proof of completion of Degree, before 30 October 2020 failing which their admission is liable to cancellation.

The decision of the concerned authorities of DA-IICT regarding eligibility of any candidate shall be final.

Fees Structure*

At the time of admission an amount of Rs. 195, 000/- (Rs. 175,000 towards Tuition Fee for the First Semester and Rs.20,000/- towards a Caution Deposit) – The registration fee is payable at the time of registration and hostel rent on allotment of the hostel room.

Tuition fee Rs. 175, 000 per Semester **
Registration Fee Rs. 2,500 per Semester
Caution Deposit Rs. 20,000 (Refundable at the end of the program)
Hostel Rent Rs. 18,000 to Rs. 20,000 per semester depending upon the hostel block in which the room is allotted.
Food On actuals. There are multiple food options available in the campus. (Monthly expenses are approximately Rs. 5,500/-)

*Subject to revision

** Tuition Fee includes the cost of on-campus SAS based training to be imparted primarily during winter/ summer breaks by Faculty from SAS/ industry experts and one attempt of 5 global certifications (to be held in the institute worth USD 900) in the framework  of SAS – DA-IICT academic partnership.

Selection Process

The candidates are selected through an entrance test to be conducted at selected centers all over the country. The tentative list of centers is: DAIICT Gandhinagar, Ahmedabad, Bhopal, Benguluru, Chennai, Mumbai, Hyderabad, Patna, Jaipur, Kolkata, New Delhi, Pune, Rajkot, Surat and Udaipur. The final merit list for admission will be prepared on the basis of the aggregate score in the entrance test.

Entrance Test

The test will evaluate the candidates on their mathematical aptitude, logical reasoning, and basic programming.

Pattern: Multiple choice questions (MCQ) from four sections – Mathematics, Statistics, asic Computer Science (programming) and Quantitative Aptitude.

Exam Duration: 90 minutes

Weightage: All questions will carry equal weightage.

Negative Marking: The correct answers for each question will be awarded 4 marks, each incorrect answer will be assigned a negative mark of -1 and 0.25 marks will be awarded for not attempting a questionThere will be no section wise cutoffs. However, a candidate should have a positive score in each section to be eligible to be included in the final merit list.

Exam Syllabus:

The detailed syllabus can be found here (syllabus.pdf).

Sample Question Paper:

A sample question paper can be found here (sample-question.pdf).

How to apply

  • Candidates submit online application by clicking on the link given below. Application fee (non-refundable) is Rs.1200/- plus GST@ 18%. Click here to apply online.
  • The Candidate has to satisfy the eligibility criteria in order for her/his application to be considered for final admission.
  • Eligible Candidates have to appear for Entrance Test conducted at selected centers in the country. The online application procedure will guide you through the necessary procedures for application fee payment, registering for entrance test, choosing test center.
  • Final merit list for admission is prepared based on the aggregate score in the entrance test. The top 60 scorers are offered confirmed admission and there will be a waitlist. The candidates who have been offered confirmed admission will be given five days’ time to accept the admission offer by paying the relevant fees. If a candidate fails to pay the fees within the stipulated period, the offer of admission will stand withdrawn and the eligible candidate on the waiting list will be offered admission and she/he will be given five days’ time to pay the fees and accept the offer of admission.
  • The candidates who have accepted admission offers will be notified to appear for registration, followed by counseling, document verification, payment of fees and on confirmation of admission, the orientation program.

Admission Offer

Final merit list of confirmed and wait-list candidates based on their performance in the entrance examination will be posted on the website of Institute. Offer/intimation letter for admission will be sent by the institute through post and/or email to candidates accordingly. In case of multiple candidates scoring same marks in the entrance exam, the candidate having higher positive marks will be awarded higher rank.

For Inquiries

E-mail: pg_admissions@daiict.ac.in

Phone: (079) 68261700/575/576 (Available MonFri 9:00 am – 6:00 pm)