Brief Overview

Master of Science – MSc – Data Science

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)

PEO (Program Educational Objectives)

Sample content for PEO

PSO (Program Specific Outcomes)

Sample content for PSO

PO (Program Outcomes)

Sample content for PO

Curriculum Structure

Year 1
Semester-wise Syllabus
Semester I
  • Principles of Data Science – I
  • Mathematical Foundations for Data Science-I (Advanced Calculus and Linear Algebra)
  • Descriptive Statistics and Probability Distributions
  • Inferential Statistics
  • Programming in R and Python
  • Data Processing & Data Management
Semester II
  • Mathematical Foundations for Data Science – II (Numerical Methods and Optimisation Techniques)
  • Data Analysis & Statistical Modelling
  • Regression & Classification Modelling
  • Design and Analysis of Algorithms
  • Artificial Intelligence & Machine Learning – I (Supervised Algorithms)
  • Natural Language Processing & Text Mining
Year 2
Semester-wise Syllabus
Semester III
  • Principles of Data Science - II
  • Stochastic Processes
  • Artificial Neural Networks & Deep Learning
  • Artificial Intelligence & Machine Learning – II (Unsupervised Algorithms)
  • Bayesian Inference
  • Big Data Analytics
  • Term Paper/Research Publication
Semester IV
  • Research Methodology
  • Elective I
  • Elective II
  • Dissertation Project
Electives
Semester-wise Syllabus
  • SQL and Power BI
  • Biostatistics and Medical Statistics
  • Advanced Operations Research
  • Stochastic Mathematics
  • Nonlinear Dynamics
  • Control Theory
COURSE OF INDEPENDENT STUDY

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FACULTY
STUDENT

I am currently pursuing my M.Sc. in Data Science at Alliance University, and my experience has been nothing short of exceptional. The curriculum is robust, keeping pace with the latest industry trends, and the faculty is comprised of experienced professionals who are not only experts in their fields but also deeply committed to student success. The dynamic learning environment with state-of-the-art facilities fosters both theoretical understanding and practical application. The emphasis on hands-on learning, industry projects, and internships have greatly enhanced my skill set and prepared me for the challenges of the data science landscape.

Akhil
Batch: 2023-25

The M.Sc. in Data Science programme at Alliance University is a fulfilling experience. The vibrant campus, dedicated faculty, and diverse student community have created an enriching learning environment. The well-rounded curriculum and emphasis on practical skills have prepared me for the professional world. I am grateful for the opportunities and growth I’ve experienced during my time at Alliance University.<?p>

Puneetha
Batch: 2023-25

Puneetha
Puneetha
FAQS

Everything You Need to Know

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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