M.Tech. Computer Science & Engineering - DATA SCIENCE

The M.Tech Computer Science & Engineering (Data Science) program offered by UPES School of Computer Science is designed to equip students with a comprehensive understanding of data science and its applications. The curriculum encompasses a diverse range of topics, including machine learning, deep learning, big data analytics, data visualization, business intelligence, and generative AI. By exploring these subjects, students develop a strong foundation in the field, preparing them to address complex data-driven challenges effectively. A distinctive aspect of the program is its emphasis on practical learning. Through real-world projects, hands-on labs, and experiential case studies, students gain valuable experience in applying theoretical concepts to real-world scenarios. The curriculum is meticulously curated to align with the latest industry trends, ensuring that graduates are proficient in utilizing advanced tools and technologies such as TensorFlow, PyTorch, Apache Spark, and Scikit-learn.

The program’s commitment to industry integration is reflected in its on-the-job training opportunities. Collaborations with leading organizations provide students with internships, live projects, and corporate training programs that bridge the gap between academic learning and industry expectations. This exposure enables students to develop the problem-solving abilities and technical expertise required in today’s data-driven landscape. Students benefit from regular interactions with industry leaders, data scientists, and domain experts through expert sessions, workshops, and panel discussions. Additionally, participation in global hackathons, AI challenges, and data science competitions fosters a culture of innovation and hands-on learning.

Enrolled students receive dedicated mentorship and research guidance from experienced faculty members and industry professionals. The university’s Research & Development Center provides a structured environment for thesis work, research projects, and scholarly publications in areas such as AI-driven analytics, predictive modeling, and business intelligence. With access to cutting-edge research and development initiatives, students are encouraged to contribute to the field’s evolution.

In conclusion, the M.Tech program in Computer Science & Engineering with a specialization in Data Science at UPES School of Computer Science offers a well-rounded educational experience. By integrating practical learning, industry exposure, and expert mentorship, the program prepares graduates for impactful careers in AI, data science, and analytics-driven industries. Equipped with the latest technological expertise and a problem-solving mindset, graduates are ready to take on roles such as Data Scientist, Machine Learning Engineer, AI Researcher, and Business Intelligence Analyst, making meaningful contributions to the ever-evolving data science domain.

• Students of the B.Tech. Mathematics and Computing program gains expertise in mathematical modeling and computing, equipping them to analyze and solve complex real-world problems with precision.
• Develop a strong foundation in critical thinking, mathematical modeling, and analysis, enabling the design of robust systems across diverse domains.
• Explore applications of quantitative finance, gaining insights into mathematical modeling in financial contexts while building problem-solving expertise beyond finance.
• Each semester integrates theory with practical training, ensuring hands-on experience in emerging fields within the engineering space.
• Benefit from comprehensive placement assistance, with students securing industry-leading placement packages through the university’s dedicated support.
• Leverage the Global Pathway Program, providing opportunities to complete training at world-class institutions overseas, enhancing global exposure and learning.

• Gain expertise in data science, big data analytics, cloud computing, and AI-driven solutions, along with real-world applications in predictive modeling, business intelligence, and secure data processing.
• Master industry-leading tools and technologies, including Power BI, Tableau, and Plotly for data visualization, as well as machine learning frameworks like Scikit-Learn, TensorFlow, and PyTorch. Develop proficiency in big data technologies such as Apache Spark and Hadoop and gain hands-on experience with cloud computing platforms like AWS, Google Cloud, and Microsoft Azure.
• The M.Tech. Computer Science & Engineering (Data Science) program provides access to high-performance computing labs with GPU-enabled systems, a dedicated data science lab for real-world simulations, and an IoT & AI excellence center supporting research in fintech, healthcare AI, and smart cities. The cybersecurity lab further enables exploration in secure data processing and blockchain analytics.
• Benefit from UPES’s partnerships with global institutions, offering opportunities for industry-recognized certifications from AWS and Google AI, research collaborations, and participation in international hackathons, Kaggle competitions, and expert-led masterclasses.
• Engage in real-world projects and internships with top IT companies, ensuring industry readiness and hands-on experience in solving complex data science challenges.
• Meritorious students receive scholarships, while financial assistance and loan schemes ensure accessibility to quality education, regardless of socioeconomic background.

The M.Tech. Computer Science & Engineering (Data Science) program at UPES School of Computer Science offers a promising future in the rapidly expanding field of data science. With the global data science market projected to exceed $450 billion by 2030, industries such as healthcare, finance, e-commerce, and manufacturing are increasingly leveraging AI, machine learning, and big data technologies to drive innovation and decision-making.

The program equips students with in-demand expertise, preparing them for thriving careers as data scientists, machine learning engineers, and AI specialists. The demand for professionals in data science-related roles is expected to grow by over 20% in the coming decade, significantly outpacing other occupations.

Graduates from this program are at the forefront of technological advancements, working on complex challenges in predictive analytics, business intelligence, and secure data processing, ultimately shaping the future of data-driven industries.

Upon graduating from the M.Tech. Computer Science & Engineering (Data Science) program at UPES School of Computer Science, students can explore diverse career opportunities across industries. The program equips graduates with expertise in data analytics, machine learning, and big data technologies, making them highly sought after by leading organizations.

Graduates can take on roles such as Data Scientist, responsible for analyzing complex data and developing models to extract actionable insights for informed decision-making. As Machine Learning Engineers, they focus on designing, developing, and deploying intelligent systems that continuously improve through data-driven learning. AI Specialists work on advanced artificial intelligence solutions, including neural networks and deep learning applications, transforming industries like healthcare, finance, and robotics.

Big Data Engineers specialize in managing vast volumes of structured and unstructured data, developing scalable infrastructure for efficient data processing and storage. Data Analysts leverage statistical tools and visualization techniques to interpret data, providing organizations with key insights to drive strategic decisions. Business Intelligence Analysts focus on utilizing data analysis tools to optimize business operations, enhance efficiency, and improve decision-making.

Graduates can also pursue roles as Data Architects, responsible for designing secure and efficient databases for large-scale data science applications. Quantitative Analysts apply mathematical models and algorithms to financial data, driving predictive analytics in finance and investment sectors. AI Researchers conduct cutting-edge research in artificial intelligence and machine learning, advancing innovative algorithms and techniques that shape the future of AI applications.

Additionally, Data Science Consultants work closely with businesses to identify challenges and implement data-driven solutions, offering expert advice and strategic insights on data science projects. These career paths span multiple industries, including technology, finance, healthcare, e-commerce, and beyond, reflecting the program’s commitment to developing skilled professionals capable of leveraging data to solve complex real-world challenges.

The M.Tech. Computer Science & Engineering (Data Science) program at UPES School of Computer Science has consistently achieved strong placement outcomes, reflecting the university’s commitment to producing industry-ready data science professionals. With a curriculum designed to provide deep technical expertise and hands-on experience in data analytics, machine learning, and big data technologies, graduates are well-prepared to meet the evolving demands of the industry.

UPES’s strong industry collaborations open doors to internships, real-world projects, and research opportunities, ensuring that students gain practical exposure to cutting-edge data science applications. Graduates bring a versatile skill set that allows them to thrive in diverse sectors such as finance, healthcare, technology, e-commerce, and more.

The dedicated placement cell plays a pivotal role in facilitating career success by organizing recruitment drives, pre-placement training, mock interviews, and skill enhancement workshops. With a proven track record of placements in leading organizations such as Deloitte, PwC, TCS, and Infosys, the M.Tech. Data Science program at UPES empowers students to launch successful careers in the rapidly growing field of data science.

Click here for detailed Fee Structure.

Interested students must meet the following minimum eligibility criteria for the M.Tech. program in Computer Science & Engineering (Data Science):

1. Minimum 60% marks at Higher and Senior Secondary level (X and XII).
2. B. Tech/ BE (IT/(Hons.) Computer Science and Engineering), MCA, M.Sc. (Physics/Math’s/Statistics, with minimum 60% marks. Or Equivalent.

Selection for the M.Tech. in Computer Science & Engineering (Data Science) program at UPES is determined by evaluating the performance of students in Personal Interview.