Computer Science and Engineering (DS)

B.Tech in Computer Science and Engineering (Data Science) is a journey towards mastering CSE in the field of Data Science applying Machine Learning Techniques. It aims to develop students to excel in Data Science specific areas by inducing them to employ mathematical models with indispensable engineering and scientific principles to unravel solutions for life problems in the area of data science. With the ever more increasing data, every business is contemplating on data-driven decision making. Data science is an extensive branch of computer sciences. This field uses scientific processes and algorithms in order to gain relevant knowledge and insights from a large amount of data. Businesses use data science to decide marketing strategies, business policies, and many such decisions which can vastly decide the future of the business.

This course will make the students to understand and master CSE and also make them specialist in the field of Data Science – which is one of the emerging fields of Computer Science and Highest paid in the market. Companies like Google, Microsoft, Face Book, Twitter, Instagram, Cisco, Amazon, Oracle are the major users of Data Science which is highly driven by data. Data Science is the conceptual framework which is used in Analytics, this would include statistics, computational physics, algebra, CS and all allied subjects.

The curriculum of this programme is designed to introduce the students to data-oriented skills like Programming for Data Science, Predictive Analytics, etc., The interdisciplinary field of data science uses key skills of a wide range of fields including machine learning, statistics, visualization etc. It enables us to identify meaning and appropriate information from huge volumes of data to make informed decisions in technology, science, business etc.

Programme Objectives:

The B.Tech CSE (Data Science) Program will enable students to:

  • Be prepared with a varied range of expertise in different aspects of Data Science such as data collection, visualization, processing and modeling of unstructured and large data sets.
  • Apply the principles of Data Science for providing real world business solutions.
  • Create Graduates with successful career in the field of Data Science in all industries or pursue higher education and research or evolve as entrepreneurs.

 

Scope of Programme:

The programme will enable students to demonstrate proficiency in Data Science, leading to successful careers as Data Scientists. The graduates will exhibit commitment to developing sustainable data-based solutions that satisfy the modern data analysis and scientific application needs. The graduates will adapt to and aid in technological advances by life-long learning and innovation.

 

Highlights of the Course:

  • Integrated Liberal education program to gain insights into subjects like Psychology, Design Thinking, Critical Thinking & Creative Writing
  • Student-centered pedagogy
  • Curriculum focused on recent trends
  • Blended & Hybrid Learning
  • Provides opportunities for hands-on and experiential learning
  • Promoting deep learning through project-based learning
  • Preparing students for evolving job roles in the chosen area of specialization
  • Emphasis on design oriented thinking, Communication, Collaboration and Creativity from 1st year
  • Offers flexibility in choosing elective courses for widening the understanding of emerging technologies
  • Offers major, minor and specialization as part of 4 year programme
  • Startup ecosystem to translate idea into business models
  • Encourage Entrepreneurship
  • Targeted towards equipping students for future skill sets.

The Career Progression Route for Students

The career path initially starts as Junior/Associate data scientist whose responsibilities include:  test new ideas, debugs, and refactor existing models.  After gaining work experience of one-three years, they can level up their career to Senior Data Scientist or Machine Learning and AI Engineer where they are expected to build well-architected products. The senior data scientist experience and expertise can lead to Principal Data Scientist where they involve around high-impact business projects.  

Career Prospective for Data Science Students

Data science offers a wide range of rewarding and promising career opportunities across various industries. As the world becomes increasingly data-driven Here are some of the key career opportunities in data science:

  • Data Scientist
  • Data Analyst
  • Machine Learning Engineer
  • Business Intelligence (BI) Analyst
  • Big Data Engineer
  • Data Engineer
  • Data and Analytics Manager
  • Data Architect
  • AI/ML Researcher
  • Data Consultant
  • Business Analyst
  • Product Manager
  • Lead Data Scientist

Data science is one of the leading branches of computer science and there is a lot of potential for growth in the field. Businesses of all kinds require skilled and professional data scientists and computer engineers to ensure that they can analyse data effectively. The digital space has become a part and parcel of our life, and a career in computer engineering can vastly improve your chances of a thriving global career in data science. Good luck!

Students are eligible to obtain successful placements at leading companies likeAMAZON, INFOSYS, WIPRO, COGNIZANT, TCS, IBM, MICROSOFT, ORACLE, PALOALTO, TECH MAHINDRA, ZSCALER, OYO, etc.