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Mukesh Patel School of Technology Management and Engineering
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“Precision in Analysis, Artistry in Technique, Brilliance in Talent”

The Department of Data Science at MPSTME, NMIMS, is a leading academic unit within the engineering school, offering innovative programmes in the field. Established with a vision to cater to the growing demand for data-driven solutions, the department offers a wide range of educational programmes, including undergraduate (B Tech Data Science) and postgraduate (M Tech Data Science and M Tech Artificial Intelligence) degrees, as well as a doctoral programme in Engineering focused on data science and analytics. Our faculty members are highly qualified and dedicated to fostering excellence in teaching and research.

Our primary goal is to address the evolving landscape of the data science industry. We strive to bridge the gap between theoretical knowledge and practical skills, ensuring that our graduates are well-equipped to meet the demands of the industry.

The Data Science department is committed to aligning its curriculum with the latest trends and requirements of the data science and analytics sectors. This ensures that our graduates are not only job-ready but also capable of driving innovation and making meaningful contributions to the field.

Vision:

The Department of Data Science is committed to delivering top-notch education and conducting research that meets the industry’s needs. Our work focuses on improving human life through advancements in Data Science, Artificial Intelligence, Automation, and related fields.

Mission:

Our aim is to prepare human resources with the technical and management skills needed to meet the current and future demands of the Data Science and Artificial Intelligence industry and society. We achieve this by delivering a relevant curriculum, incorporating state-of-the-art pedagogical innovations, and emphasizing practical, on-field applications of technology through research and hands-on experience.

POs

  • An ability to apply knowledge of mathematics, science, and engineering for problem-solving.
  • An ability to research, design, and conduct experiments, as well as to analyze and interpret data.
  • An ability to design, implement, and evaluate a computer-based system, process, component, or programme to meet desired needs.
  • An ability to function effectively in teams to accomplish a common goal.
  • An ability to identify, formulate, and provide effective IT solutions for engineering problems.
  • An understanding of professional, legal, security, and social issues and responsibilities.
  • An ability to communicate effectively with a range of audiences.
  • The broad education necessary to understand the impact of engineering solutions in a global, economic, environmental, and societal context.
  • Recognition of the need for and an ability to engage in continuing professional development and self-learning.
  • An ability to apply ethical principles in the development of IT and Business solutions.
  • An ability to use the techniques, skills, and modern engineering tools necessary for developing effective IT and Business solutions.
  • An ability to identify and analyze user needs and take them into account in the selection, creation/integration, evaluation, and administration of IT-based and Business solutions.

PSO

  • Demonstrate an ability to visualize, architect, and create appropriate solutions for IT and business-related projects.
  • Demonstrate an ability to professionally manage, monitor, and safeguard IT resources.

Established with a vision to cater to the growing demand for data-driven solutions, the department offers a wide range of educational programmes, including Undergraduate (B Tech Data Science) and Postgraduate (M Tech Data Science and M Tech Artificial Intelligence) degrees, as well as a Doctoral programme in Engineering focused on data science and analytics.

Our faculty members are highly qualified and dedicated to fostering excellence in teaching and research.

The Data Science department has completed the following industry projects:

  • With Tumor Trace (UK): Students worked on image data to detect the occurrence of oral cancer.
  • Fraud detection Analytics for CoStar: around 370 Terra Bytes of data captured from companies who were involved in IP infringement were analyzed using Relativity software (based on Machine Learning) along with the AI component of NexLP.
  • Happy Bank: Customer Analytics for Microfinance
  • Doctor for You: B Tech students are working on Predictive Modelling on health-care data from rural Mumbai.

The following projects are in Progress:

1. Akzonobel Coatings International B.V.

The Data Science department has been collaborating with AkzoNobel Coatings International B.V. for the past four years, addressing a wide array of challenges in automation, color prediction, and beyond, employing cutting-edge techniques in Data Science, Machine Learning, and AI.

Welcome to the cutting-edge computer, Big Data, and AI Labs of our Data Science Department! Our state-of-the-art facilities are meticulously equipped with advanced processors, providing an optimal computing environment for comprehensive exploration of data science and artificial intelligence. In the Big Data Lab, students actively participate in hands-on practical sessions tailored to real-world data science applications, utilizing industry-leading software tools such as Python, Anaconda, and Cloudera. Similarly, our AI Lab offers a robust platform for students to immerse themselves in the complexities of artificial intelligence, supported by top-of-the-line equipment and software resources. Each lab serves as a hub for innovation, offering unmatched opportunities for students to spearhead advancements in big data and AI technologies.




Ctrl Freaks, comprised of Harsh Mahadik, Ronit Mehta, and Mihir Shah (Btech DS, Sem VI), emerged victorious at Analytika’s Datathon, showcasing innovation in precision agriculture and image recognition. Their groundbreaking solutions promise to revolutionize farming practices and enhance the efficiency of grocery shopping, reflecting the transformative power of data science in driving positive change.
Snehee Chheda and Anish Gharat, students of BTech Data Science secured the 2nd position at the L&T Constructions organised hackathon ‘I-Cu 2023’. Employing techniques of Artificial Intelligence and Data Science, their solution to generate a Smart City Layout with predefined constraints proved to be highly effective.

Abey Puthenveetil, student of MBATech Data Science got the privilege to go to Bali, Indonesia in the month of September to compete in the MIT hacking medicine hackathon internationally after winning the AI/ML track in Banglore. His skin cancer monitoring system won third place there in Bali which entitled for 500 USD and a lot of recognition globally.
ANIDYA BHANDARI, BTech DS 4th year student got selected out 27,000 applications globally for the prestigious “Mitacs Globalink Research Internship” which is a fully funded internship hosted in Canada. Anindya’s project was titled as ‘Data Analytics to Advance Municipal Wastewater Treatment’ and he worked under Dr. Amina Stoddart at the Dalhousie University, Halifax, Nova Scotia.

Faculty - Data Science

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Dr. Siba Panda

Assistant Professor

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Dr. Manishkumar Tiwari

Assistant Professor

Staff - Data Science

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Mr. Vikrant Gaonkar

Lab Asst.

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Ms. Surekha Patil

Assistant (Academic-Administration)

Student Testimonials
  • Abhishek Doppalapudi
    Abhishek Doppalapudi

    BTech Data Science 2017-2021

    I joined the Data Science program at MPSTME because I was looking to join an interdisciplinary course that equipped me with skills that are in high demand in the industry. The data science department has great professors who teach the latest subjects, such as machine learning, business statistics, big data, and analytics, which helped me, become industry-ready at the time of my graduation. The 6-month internship component, which is part of the program, has helped me understand the industry requirements and upskill myself accordingly. I have had a great experience over these four years, and I am sure the subsequent batches will also have a wonderful experience.

  • Mitali Kambli
    Mitali Kambli

    BTech Data Science 2017-2021

    I came across the data science course at MPSTME after looking for an academic course that would help me combine my interests in not just Computer Science but also Statistics and Machine Learning. I believe that the knowledge and skills that I have gained over the course of my bachelor’s degree will truly help shape my future career as a Data Scientist. It has been an interesting, challenging, and yet rewarding 4 years. I am thankful for the kindness and well-preparedness of the teachers who have shared their wisdom and experience with us.

  • Vidhi Kapoor
    Vidhi Kapoor

    BTech Data Science 2018-2022

    It was a really nice experience studying at NMIMS MPSTME. I am currently a data scientist at Pidilite Industries and I owe my career to my professors. Doing an engineering degree in Data Science, a course that was new at the time, was very smooth because of the professors we had. They were knowledgeable and provided unwavering support to the students throughout the academic journey. My time at the university has been fulfilling and rewarding.

  • Anmol Bhatia
    Anmol Bhatia

    BTech Data Science 2019-2023

    My data science journey at NMIMS MPSTME was a very memorable and transformative one which helped me grow holistically. The faculty is always supportive, encouraging at every step and very passionate about their subjects which positively influences the students. Focus is always on being connected to and getting the best faculty from industry to teach industry relevant stuff. The program is extremely comprehensive and thoughtfully designed which exposes a student to a variety of subjects (both required and electives) within and related to data science to enhance the overall understanding of the domain and empowers them to make informed decisions about their future. Increasing importance is being placed on practical application to improve problem solving which makes students independent and equips them to be industry ready.The department here is always looking to improve and update its course to make the experience better for its students. Regular internship opportunities are provided to students facilitated by industry-academia partnerships which is invaluable. There are department focused and general clubs, societies in the college where one can collaborate and use their skills to come up with creative ideas and solutions. The placement process is started in advance and the department brings in a variety of roles to cater to all students at major companies and innovative startups applying data science and machine learning.Overall I had an amazing experience in this program (India’s first in BTech Data Science) and I’m grateful for all the priceless connections I made here, the guidance from seniors, faculty and the excellent environment. This program is ideal for anyone who wants to step into the world of data science, machine learning and AI and make a successful career in it!

  • Anyaa Mishra
    Anyaa Mishra

    BTech Data Science 2020-2024

    My experience as a BTech Data Science student at MPSTME has been incredibly enriching. It provided me with ample opportunities to explore creative boundaries and devise data-driven solutions. Engaging in projects such as the AkzoNobel Capstone project and various internal initiatives exposed me to real-world industrial practices, significantly augmenting my skillset and bolstering my resume. The curriculum is regularly updated to incorporate the latest tools and technologies in Analytics, Machine Learning, and Artificial Intelligence. Additionally, the commendations from esteemed faculty members, namely Sarada sir, Saba sir, and Jaykrishna sir, played a pivotal role in propelling my career forward. Thanks to their support, I have secured admission as an MSc Business Analytics student at the University of Edinburgh for the fall of ’24, a distinguished institution ranked 22nd globally.