M.Sc. Data Science

M.Sc. Data Science

Program Details

The M.Sc. Data Science program offered by UPES School of Advanced Engineering is a comprehensive 2-year master's program designed to equip students with a strong foundation in mathematics, data analysis, statistical modeling, and machine learning techniques. Throughout the course, students will delve into the world of big data, learning how to efficiently use smart devices and leverage statistical methods to interpret and extract valuable insights from vast datasets. The program emphasizes practical learning and equips students with essential programming skills in popular languages such as Python or R, which are widely used in the data science industry. Moreover, students will be trained in data visualization techniques to effectively communicate complex information in a clear and visually appealing manner, a crucial skill in the modern data-driven world.

A significant highlight of the program is the opportunity for students to engage in real-world data science projects, gaining valuable hands-on experience and working on practical challenges faced by the industry. In the second year, students will have the chance to apply the knowledge and techniques acquired during their coursework to a self-selected data science topic, undertaking a dissertation project that allows them to showcase their expertise and creativity in solving real-world data problems.

Overall, the M.Sc. Data Science program at UPES School of Advanced Engineering offers a comprehensive and well-rounded curriculum that prepares students to thrive in the rapidly evolving field of data science. Graduates of this program will be equipped with the necessary theoretical knowledge, practical skills, and research experience to make a significant impact in various industries and domains where data-driven decision-making is crucial.

Program Highlights

  • The M.Sc. Data Science program offers a cutting-edge curriculum that covers statistical analysis, machine learning, big data analytics, and data visualization, equipping students with the skills required to excel in the data science field.
  • Students get the opportunity to work on real-world projects in collaboration with industry partners, gaining practical experience and building a strong portfolio to showcase their expertise to potential employers.
  • The program is taught by experienced faculty members who are experts in the field of data science, providing valuable insights and mentorship to students throughout their academic journey.
  • The School of Advanced Engineering at UPES provides access to modern laboratories and resources, allowing students to conduct in-depth research and experiments in data science.
  • The university offers dedicated career support and placement assistance to students, connecting them with top recruiters and job opportunities in the data science industry.
  • The M.Sc. Data Science program encourages an interdisciplinary approach by integrating knowledge from various domains, fostering well-rounded professionals with the ability to tackle complex data-driven challenges effectively.

The M.Sc. Data Science program by UPES School of Advanced Engineering offers promising future prospects for students. With the increasing demand for skilled graduates in mathematics, big data, and data science, opportunities are plentiful in both public and private sectors. The program emphasizes interdisciplinary knowledge to equip graduates with a wide-ranging skill set. Graduates will be well-prepared for a successful career in data science, with specialized skills in machine learning and AI to contribute to the development of intelligent systems and predictive models. Moreover, they can explore employment opportunities in industries where data-driven decision-making and operations are critical. The program also focuses on predictive analytics, business intelligence, and research and development aspects, making it a comprehensive and sought-after choice for aspiring data scientists.

Career Opportunities

Completing the M.Sc. Data Science program by UPES School of Advanced Engineering opens up a plethora of promising career opportunities for graduates. With a strong foundation in data analysis, statistical modeling, and machine learning, students can embark on roles such as Data Scientist, extracting valuable insights from complex datasets. They can also pursue careers as Data Analysts, examining and interpreting data to facilitate data-driven decision-making. As a Machine Learning Engineer, graduates can design and develop advanced algorithms for predictive models. Additionally, they can become Big Data Engineers, handling vast datasets and optimizing data processing pipelines. Other possibilities include roles as Business Intelligence Analysts, Data Architects, and even entrepreneurship and consultancy opportunities. Furthermore, the program equips individuals to pursue careers in scientific research or academia, contributing to the ever-evolving field of data science.


The M.Sc. Data Science program offered by UPES School of Advanced Engineering has consistently achieved remarkable placements, providing students with excellent career prospects. Through a blend of rigorous academic training and practical exposure, graduates emerge as highly skilled data scientists sought after by leading industries. The university's strong industry connections and dedicated placement cell play a crucial role in facilitating lucrative job opportunities for students. Many renowned companies across various sectors actively recruit from the program, acknowledging the students' proficiency in data analytics, machine learning, and data-driven decision-making. With a track record of successful placements, the M.Sc. Data Science program at UPES School of Advanced Engineering stands as a testament to its commitment to producing competent data science professionals.

Fee Structure

Click here for detailed Fee Structure.


Semester 1

Programming and Data 
Structure ​
Computational Linear Algebra                  ​3104
Introduction to Machine
Learning     ​
Probability and Statistics​3104
Optimization Techniques​3104

Semester 2

Multivariate Analysis3024
Bayesian Data Analysis​3104
Statistical Machine Learning​3024
Deep Learning & GPU 
Stochastic Processes​3024

Semester 3

Computer Vision​3024
Data Mining and 
Data Warehousing​
Time series and 
forecasting methods​
Dissertation-I  0084
Summer Internship​0021

Semester 4

Computational Mathematics​3024
Electives-II   ​3024
Dissertation-II     ​00168

Selection Criteria

The selection criteria for students who wish to pursue M.Sc. Data Science is determined by evaluating the performance of the interested students in Personal Interview.


AI & ML Internet of Things (IoT), Data Analytics, Blockchain. Disaster Management, Sustainability & Climate Change with SoAE in existing website