B.Voc in Data Science

The Bachelor of Vocational in Data Science program designed to prepare graduates who can conduct data-driven investigations, and conduct visual and advanced analytics by acquiring and managing data of all types. Through this course, graduates will develop an in-depth understanding of data science and the techniques for analysis of quantitative and qualitative data to arrive at solutions. They will be able to identify patterns, predict trends, and analyse data from sectors such as manufacturing, banking and finance, retail, and healthcare.


  • Prepare professionals conversant with current and advanced technological tools to carry out Investigation, analysis and synthesis by identifying various compute oriented solutions.
  • To develop positive attitude and skills which enable them to become a multi facet personality.
  • : To prepare students in such a way so that they perform excellently in national label entrance examinations conducted by various well known institution like IIT’s/ central Universities/other academic institutes etc. to pursue their PG/MS/Dual PG and Ph. D. programs.
  • To make them aware of effective machine learning and Artificial Intelligence based data analytics and inference required for Industrial Application.
  • To inculcate passion for lifelong learning by introducing principles of group dynamics, public policies, environmental and societal context.

Programme Learning Outcomes :

The expected outcomes after completing the program would be:

  • PO1: Data Science knowledge: Application of Data Science knowledge in various fields of science, engineering and management etc.
  • PO2: Nature of Data Science: Understand the concise, precise and rigorous nature of Data Science.
  • PO3: Critical thinking: Develop the skill to think critically on abstract concepts of Data Science.
  • PO4: Problem analysis: Develop the ability to analyze a problem logically and dissect into micro-parts and thus resolving the problem to accessible components.
  • PO5: Presentation skill:Develop the skill to pleasant exposition for successful presentation for any career interview with confidence.
  • PLO6: Data Science logic: Formulates and develops data analysis arguments in logical manner.
  • PLO7: Team Work:Work as a team player and strive for self-excellence.
  • PLO8: Ethics: Realize and understand professional, ethical and cultural responsibilities.
  • PLO9: Communication:Communicate effectively with an elite audience.
  • PLO10:Life-long learning:Engage in life-long learning towards enduring professional development.

Eligibility Criteria

The basic eligibility criterion for pursuing the course is Minimum 50% marks in 10+2 or equivalent examination in any relevant stream with Mathematics / Computer Science / Computer Application as a mandatory subject.


Duration (in year) 1 2 3
1. Tuition Fee Rs. 65,000/- Rs. 65,000/- Rs. 65,000/-
2. Examination Fee Rs. 8,000/- Rs. 8,000/- Rs. 8,000/-
3. Other Fees (Registration, Library, etc.) Rs. 9,000/- Rs. 9,000/- Rs. 9,000/-
Development Fund Rs. 8,000/- Rs. 8,000/- Rs. 8,000/-
Course Fee Rs. 90,000/- Rs. 90,000/- Rs. 90,000/-
Caution Money Rs. 5,000/- - - -
Total Fee Rs. 95,000/- Rs. 90,000/- Rs. 90,000/-
Hostel Fees
(Fees + Caution Money)
Rs. 75000/- + Rs. 5000/- = Rs. 80000/-
Transportation Cost = Rs. 24,000/-

Placed Student Details

Name of Student Program Year Company Package
Faiz Siddiqui B. Tech. (CE) 2020 M/s Prism Johnson Limited 3.57 LPA
Nischal Agarwal B. Tech. (CE) 2020 Vansh Construction 3.0 LPA
Abhishek Chaurasia B. Tech. (CE) 2020 K I Conequip Pvt. Ltd. 2.5 – 5.0 LPA
Armaan Shahid B. Tech. (CE) 2020 Motife Space Construction 1.75 LPA
Nitin Kumar B. Tech. (CE) 2020 Motife Space Construction 1.75 LPA

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Career Path

Data Science is considered one of the top 50 trendiest jobs in the world. Therefore, today is the right time to pursue this specialized course teaching you various aspects of data collection, data extractions, data analyses, data mining, data visualization, etc across diverse sectors of business, healthcare, logistics, banking and others?

  • According to LinkedIn, Data Science is the future of business and e-commerce world.
  • You not only can earn a higher salary and get a stable career, but you can also explore and learn different techniques and technologies involved in the process.
  • Most of the engineers these days want to learn the basics of data science to learn and apply analysis in different types of data and extract valuable information from it.
  • Around 40% increase in jobs have in data science from 2017 to 2019, and it is expected to increase in this rate, creating more than 2 Lakhs job opportunities by the year 2021.

The following table shows some of the major job positions you can get after completing this course.

  • Data Scientist:A Data Scientist has a major role to play in a Business or solving a problem.Their main role is to provide insightful information and values from a certainset of data after carefully going through the major steps of data science, and Suggesting solutions to those problems or doubts.
  • Process Analyst:A process Analyst is an important part of the IT team where he/she analyze thebusiness processes and workflows in order to understand the business
  • Data Solutions Analyst:Data Solutions Analyst usually maintain client-specific data along with useful reports with respect to company policies and procedures. They gather and collect information from the clients, maintain the data warehouse, follow the automated report production process and provide recommendations in case of any negative outcome or result.
  • Business Analyst:A Business Analyst is supposed to analyze the business-related data and provide help in decision making with respect to many new business trends from the technical point of view.
  • Statistical Analyst:A Statistical Analyst is responsible for collecting, reviewing and extracting valuable information from the data which will further help Business Analysts and Data Scientists in the real-time decision making process.
  • Web & Social Media Analyst:Web & Social Media Analyst is responsible for the evaluation and analyzing user engagement with the help of various software and data structure tools.
  • CRM Analyst:They are responsible for the evaluation of the client-related data provided internally or externally to know their behavior, their pattern and extracting insightful information from it which will help to maintain the relationship with clients by understanding their problem and resolving them on a macro scale.
  • Business Intelligence Analyst:BI Analyst is responsible for transforming a large set of data into valuable information that will hold a business value. They analyze the latest trends and help make the business grow in a smarter and in a much efficient way.
  • Data Architect:A Data Architect is responsible for everything about the company data. They maintain the solid structural database of the company containing all the necessary information. They create database solutions, evaluate requirements and prepare reports.
  • Data Mining Engineer:Data Mining Engineer is responsible for creating and enhancing the statistical and predictive data and models and algorithms to analyze a large set of data.
  • Database /Administrator:A DB Administrator is responsible for planning, installing, designing, migrating, monitoring the data by using different softwares and tools.