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B.Tech. (CSE) With Data Science

B.Tech. (CSE) With Data Science Course: Details, Eligibility, Fee, Syllabus, Placements

The B.Tech CSE program with a specialization in Data Science is a dynamic curriculum that seamlessly integrates the principles of Data Analytics with core computer science concepts. Designed to meet the growing demand for skilled data professionals, this program empowers students to excel in the burgeoning field of Data Science by combining mathematical models with engineering and scientific principles to solve real-world challenges. In today's data-driven world, businesses are increasingly relying on data-driven decision-making processes. This program equips students with the essential skills needed to thrive in this environment, including Programming for Data Science, Predictive Analytics, and more. By immersing students in hands-on projects and practical applications, the curriculum ensures that graduates are well-prepared to address the complex data challenges faced by industries across the globe. Data science is a rapidly evolving field, with new techniques, algorithms, and tools being developed regularly. Graduates need to stay updated with the latest advancements in data science and continuously upgrade their skills to remain competitive in the job market.

B.Tech. (CSE) With Data Science

USP's

  • Experienced faculty members to enrich comprehensive knowledge.
  • Value added courses
  • L & T Powered Programmes.
  • Guaranteed Campus Internship and Placement Drive.
  • Nasscom foundation industry oriented courses
  • IBM, TCS advanced technologies program
Industrial Collaboration
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Fee Structure

YearFee
Second Year₹ 1,42,000
Third Year₹ 1,25,000
Fourth Year₹ 1,25,000

Admission Criteria

Passed diploma examination from a board/ university approved institution with atleast 60% marks OR Passed B.Sc. degree from a recognized university or institution with at least 60% marks and passed XII standard with mathematics as a subject.

Industrial Visit

Industrial visits are an essential part of the academic curriculum in most of the Graduate and Post-graduate courses. Being a part of interactive learning, such educational visits give students a major exposure to real working environments along with a practical perspective of a theoretical concept relevant to their domain. In addition to that, industrial visits bridge the widening gap between theoretical learning and practical exposure by giving students the first-hand exposure to identify the inputs and outputs for different business operations and processes performed at the workplace.

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Upon completion of the program, graduates have a wide range of career opportunities available to them. They can pursue roles such as Data Scientists, Data Engineers, Data Warehouse Architects, Business Intelligence Analysts, and Big Data Architects, where they leverage their expertise to transform raw data into actionable insights that drive business success. Overall, the B.Tech CSE program with a specialization in Data Science offers a comprehensive education that prepares students for success in the fast-paced and dynamic field of data analytics and empowers them to make meaningful contributions to the businesses and industries of tomorrow. Data Analysis experts are among the most sought-after professionals in IT sector, with demand for skilled technocrats in that field outpacing other IT jobs by a wide margin.

  • Data science principles, tools, and methodologies to tackle tangible business challenges, delivering actionable solutions with meaningful insights.
  • Identify and address operational issues within various business domains, leveraging data science techniques to enhance decision-making processes and gain a competitive advantage.
  • Gain proficiency in industry-leading analytical practices, guiding the development of iterative learning cycles and fostering continuous improvement.
  • Innovate and conceptualize novel analytic solutions that integrate seamlessly into core business operations, driving efficiency and maximizing value.
  • Explore strategies to optimize business outcomes by leveraging data-driven product development approaches, ensuring alignment with organizational goals and objectives.

Partnership with EduSkills

Eduskills is a leading educational platform dedicated to empowering learners with the skills and knowledge they need to thrive in today's digital world. Through innovative programs and partnerships with educational institutions and industry leaders, Eduskills offers a wide range of courses and training opportunities across various domains, including technology, business, and personal development.

Through its collaborative efforts, Eduskills ensures that its course offerings remain relevant and up-to-date with the evolving demands of the modern world. By working closely with industry leaders, the platform gains valuable insights into emerging trends, technologies, and skill requirements, which are then integrated into its curriculum.

Key Features of EduSkills:

  • Eduskills aims to empower learners with essential skills and knowledge for success in the digital era.
  • The platform offers a wide range of innovative educational programs tailored to various domains.
  • Collaborations with educational institutions and industry leaders enhance course quality and relevance.
  • Eduskills provides diverse courses covering technology, business, and personal development.
  • Emphasis on hands-on learning ensures practical application of knowledge.
  • Learners can choose from different formats, including online courses, workshops, and bootcamps.
  • Courses are taught by experienced professionals and educators.
  • Eduskills offers career guidance and support services to help learners advance.
  • A vibrant learning community fosters collaboration and networking among learners.
  • Courses are kept relevant by staying updated with emerging trends and technologies.
  • Access to a variety of resources supports ongoing growth and development.
  • Eduskills strives to make education accessible to all with affordable courses.
  • Rigorous quality assurance processes ensure high educational standards.
  • Learners can expand their professional networks through platform events.

Key Features of B.Tech -CSE (Data Science) Program with Eduskills Partnership:

  • Comprehensive Curriculum covering statistics, mathematics, programming languages (Python, R), machine learning, data mining, visualization, big data technologies, and database management systems.
  • Industry-relevant training and certifications through Eduskills.
  • Hands-on Projects and real-world datasets for practical learning.
  • Industry-Relevant Skills development including data analysis, predictive modeling, data manipulation, and interpretation.
  • Expert Faculty with experience in data science, statistics, and computer science.
  • Internship Opportunities with industry partners for real-world experience.
  • Capstone Projects showcasing skills and knowledge.
  • Soft Skills Development in communication, teamwork, problem-solving, and critical thinking.
  • Guest Lectures and Workshops by industry professionals.
  • Career Support Services for resume building, interview preparation, and job placement.
  • Flexible Learning Options including online courses, evening classes, and part-time study.
  • Continuous Curriculum Update to stay aligned with industry standards.
  • Networking Opportunities with alumni and industry professionals for collaboration and knowledge sharing.

Job Profiles after Data Science

Graduates of a B.Tech (Data Science) program have a wide range of job opportunities available to them in various industries. Here are some common job profiles for data science graduates:

  • Data Scientist: Analyzes complex data sets to derive actionable insights, build predictive models, and solve business problems using statistical, machine learning, and computational techniques.
  • Data Analyst: Interprets data and provides insights through data visualization and reporting tools. Responsible for data collection, processing, and performing statistical analyses.
  • Machine Learning Engineer: Designs and implements machine learning models and algorithms to make data-driven predictions or automate tasks. Works closely with data scientists to deploy models into production.
  • Business Intelligence (BI) Analyst: Utilizes data analytics and visualization tools to help businesses make informed decisions. Focuses on identifying trends, patterns, and insights from data to support strategic planning.
  • Big Data Engineer: Manages and processes large volumes of data using big data technologies like Hadoop, Spark, and NoSQL databases. Ensures the infrastructure can handle and process vast amounts of data efficiently.
  • Statistician: Applies statistical theories and methods to collect, analyze, and interpret quantitative data. Works in various sectors, including healthcare, finance, and government, to provide insights and support decision-making.
  • Data Architect: Designs and manages an organization's data architecture, ensuring that data systems are scalable, secure, and efficient. Works on data modeling, database design, and integration.
  • AI Research Scientist: Conducts research to advance the field of artificial intelligence and machine learning. Develops new algorithms, models, and applications for AI.
  • Data Consultant: Provides expert advice to organizations on how to leverage data for business growth and efficiency. Works on data strategy, implementation, and optimization projects.
  • Quantitative Analyst: Uses statistical and mathematical models to analyze financial data and assist in risk management, trading, and investment strategies in the finance sector.
  • Operations Analyst: Analyzes data to improve operational efficiency and effectiveness within an organization. Works on process optimization and performance monitoring.
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