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M. Sc. in Data Science

Overview

Data Science has emerged as one of the most lucrative career choices in recent times. Many students and professionals are entering this field because of the high demand and need for proficient data scientists in India as well as abroad.

The M. Sc. programme in Data Science offered by the Alliance School of Sciences is designed to mold graduates into data science leaders with the right balance of statistics and analytics in diverse fields of applications. The programme gives students exposure to the frontiers of statistics, machine learning, big data analytics, and artificial intelligence, helping them to acquire experience in solving pragmatic problems with the help of a range of data science tools and techniques.

It also aims to nurture students with inter-disciplinary expertise through a strong foundation in mathematics and statistics, proficiency in programming in a variety of data science environments, and practical data analytic skills. The programme pedagogy is a blend of classroom lectures with experiential learning, including lab exercises, assignments, case studies, and work-integrated activities.

Duration of the Programme

Two Years (Four Semesters)

Commence of the course


Course Duration


Mode of Study

Eligibility


Bachelor’s degree in science (Statistics/ Mathematics/ Computer Science) or Engineering (B. Engg or B. Tech) from recognized university with minimum of 50% in aggregate.

A relaxation of 5% marks or its equivalent grade may be allowed for those belonging to SC/ST/OBC (non-creamy layer) / Differently Abled.


Key Features

World-class infrastructure and classroom activities.

Advanced digital learning platform.

Industry collaborations and internship.

Career counselling and assistance.

Experienced faculty experts with international exposure.

Programme Outcomes

  • Students will be able to apply skills, techniques, and knowledge in the real world with respect to different sets of data for solving or enhancing different problems in the field of business, manufacturing, banking, genome analysis, business analytics and many other fields
  • Students will be able to develop abstract thinking and design ability to be able to identify and understand concepts related to data science theories and practice using fundamental principles of mathematics, statistics, computer science and other relevant domains
  • Students will be able to use different programming tools towards problem solving and to derive solutions for them for different domains based on global trends and needs. They will be able to use research-based knowledge for design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions

Career Opportunities

  • Data Analyst
  • Data Engineer
  • Machine Learning Engineer
  • Data Scientist
  • Data Architect
  • Data Solutions Analyst
  • Applications Architect
  • Business Analyst
  • BI Developer
  • Data Mining Engineer

Programme Structure

Faculty Speak

Top-notch Faculty

Students Speak

FAQ's

To enrol for an M. Sc. in Data Science programme at Alliance University, the eligibility criteria are a bachelor's degree in science (Statistics, Mathematics, or Computer Science) or Engineering (B. E. or B. Tech.) from a recognised university with a minimum aggregate of 50% marks. A relaxation of 5% marks, or an equivalent grade, is permitted for candidates belonging to SC/ST/OBC or Differently Abled categories.

After graduating with an M. Sc. in Data Science at Alliance University, graduates will have a wide range of career opportunities across sectors such as finance, healthcare, and technology. They can aspire for roles such as a Data Mining Engineer, Machine Learning Engineer, Applications Architect, Data Scientist and Business Analyst, Data Analyst, Data Architect, BI Developer, Data Engineer, Data Solutions Analyst.

The M. Sc. in Data Science at Alliance University is a two-year postgraduate programme that focuses on core modules such as Data Visualisation, Machine Learning, Data Mining, Statistical Modelling, and Data Management. The elective modules include Deep Learning, Natural Language Processing, Big Data Analytics, Data Ethics, and Governance. Project work, practical work for hands-on experience with data science tools and techniques, industry collaborations, and soft skills development also encompass the programme structure. For more details, you can refer to the M. Sc. Data Science Programme Page.

Yes. The CAN (Career Advancement and Networking) department at Alliance University provides M. Sc. in Data Science students with internships, industry project opportunities and industry mentorship that provide real-world experience and equips students with applied learning and data-driven decision-making skills.

An M. Sc. in Data Science is a science-oriented programme, emphasising statistical analysis, mathematics, machine learning, and data-driven decision-making, while M. Tech. is primarily engineering-oriented, emphasising computational methods, programming, algorithms, and system-level implementation.

M. Sc. in Data Science is a research-oriented degree with a focus on data-driven decisions that can be pursued after B. Sc. / BCA, while M. Tech. is a professional degree pursued after B.E / B. Tech.

M. Sc. in Data Science supports global tech careers by providing in-demand technical skills in programming, statistics, and machine learning, along with business acumen and communication abilities crucial for diverse industries like tech, finance, and healthcare. The degree offers hands-on experience with real-world data problems through projects, builds professional networks, and provides a competitive edge in a rapidly growing field with opportunities for roles like Data Scientist, Machine Learning Engineer, and AI Specialist worldwide.

M. Sc. in Data science aspirants need to submit an online application. Post the screening of the applications, applicants have to go through an online aptitude test followed by a personal interview. For more details, please refer to the Admissions Page.

Yes. Scholarships are available for M. Sc. in Data Science students. For more details, kindly refer to the Scholarship Page.

Practical learning opportunities include industry projects, internships, hackathons, case studies and industry collaborations. Apart from this, data science tools, machine learning frameworks and big data technologies, apart from capstone projects, give immense practical learning experience.

Yes, for aspiring data scientists, the M. Sc. in Data Science programme is the right fit. The programme focuses on statistics, mathematics, and data analysis, which are the core skills required for this role. Through the M. Sc. in Data Science programme, students learn Python, R, SQL, Machine Learning algorithms, Data Visualisation, and Big Data Analytics, giving them hands-on experience in tools widely used in the industry.

Apart from data scientist roles, this programme allows students to pursue roles such as a Data Analyst, Machine Learning Engineer, Business Intelligence Analyst and Research Analyst.

Alliance University has expert faculty who have graduated from renowned institutions like IITs, IIMs, NITs, and are even recognised as the “World’s Top 2% Scientists” by Stanford University and have strong industry exposure. With extensive industry experience and strong research acumen, they bring intellectual depth and practical insights that make learning at Alliance enriching and experiential.

You can connect with the students currently pursuing M. Sc. and 32000+ alumni across the globe through the TAP platform available on the Alliance University website. You may also interact with them during information sessions, open houses, and student ambassador activities hosted by the University.

M. Sc. in Data Science, being a research-oriented degree, emphasises more on data-driven decision-making and practical learning experience. The curriculum at Alliance University is crafted to equip the M. Sc. students with relevant practical exposure as well as a strong theoretical foundation. The programme integrates industry projects, internships, case studies, industry mentorship programmes, and advanced lab exercises that provide students with practical learning as well.

The CAN (Career Advancement and Networking) department at Alliance University aids students in exploring new opportunities, providing guidance on career paths, preparing them for placement interviews, and helping them navigate the complexities of job searching. CAN organises guest lectures, corporate events, seminars, in-plant training, certificate programmes, workshops, live projects, and industry exposure visits to equip graduates with practical skills and real-world experience that provides them with an edge during their placements.

The programme fee for M. Sc. in Data Science at Alliance University, excluding the hostel fees, is Rs. 4 lakhs INR for a period of two years, payable in two instalments. For more details, you can refer to the Fee Structure Page. For more details about the hostel fees, you can refer to the Hostel Fee Structure Page.

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