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Data Science has become one of the fastest growing fields. Data science combines maths, statistics, specialized programming, advanced analytics and AI to uncover actionable insights hidden in an organization’s data. This course makes you to learn how data science can unlock business insights, accelerate digital transformation and enable data-driven decision making. This course is specifically intended for individuals / professionals with programming skills and combine it with statistical knowledge to create insights from data. This programme has collaboration with IBM, that gives you exactly the breadth and depth which requires to be an expert in the field of data analysis, data visualization and Data Scientist.
BTech Data Science and Engineering is an undergraduate degree programme in the field of engineering, the course duration is four-year which is divided into eight semesters. The BTech Data Science and Engineering course provides knowledge on the process of cleansing, collecting, and modifying data in order to perform complex analyses of data.
The B.Tech program in Data Science & Engineering trains engineering graduates to be skilled Data Scientists. The emphasis is on core data science subjects along with the related computational mathematics, statistics, and computer science subjects.
Data Science is a unique multidisciplinary confluence of Computer Science, Computational Mathematics, Statistics and Management. Data engineering involves data collection methods, designing enterprise data storage and retrieval. The core data science subjects focus on data analytics, visualization, predictive modeling and analytics for data-driven decision making. Knowledge representation, machine learning, artificial intelligence, deep learning will be taught with relevant case studies. The students can study industry-specific, custom-designed program electives on blockchain technologies, quantum computing, data forensics, data privacy, algorithmic trading, and data security. Students can also opt for a minor specialization in either business, finance or healthcare analytics.
The course targets placements and internships in top data science companies like CapGemini, Cartesian Consulting, Oracle, Publicis Sapient, Wipro Ltd, and in domains such as finance, business, economics, and healthcare. The Institution has also tied up with foreign universities and promotes a semester abroad. On completion of three years of the B.Tech course, students can opt for an integrated Master’s program in a partner university abroad.
BTech Data Science Engineering course deals with the study of the gathering of information from an enormous amount of data present in an organisation’s depository. Students who want to pursue BTech Data Science and Engineering should pass 10+2 in the science stream with subjects like Physics, Chemistry, Mathematics and Computer Science.
Program overview
Main Subject
Computer Science and Information Systems
Degree
BTech
Study Level
Undergraduate
Study Mode
On Campus
Data Science has become one of the fastest growing fields. Data science combines maths, statistics, specialized programming, advanced analytics and AI to uncover actionable insights hidden in an organization’s data. This course makes you to learn how data science can unlock business insights, accelerate digital transformation and enable data-driven decision making. This course is specifically intended for individuals / professionals with programming skills and combine it with statistical knowledge to create insights from data. This programme has collaboration with IBM, that gives you exactly the breadth and depth which requires to be an expert in the field of data analysis, data visualization and Data Scientist.
BTech Data Science and Engineering is an undergraduate degree programme in the field of engineering, the course duration is four-year which is divided into eight semesters. The BTech Data Science and Engineering course provides knowledge on the process of cleansing, collecting, and modifying data in order to perform complex analyses of data.
The B.Tech program in Data Science & Engineering trains engineering graduates to be skilled Data Scientists. The emphasis is on core data science subjects along with the related computational mathematics, statistics, and computer science subjects.
Data Science is a unique multidisciplinary confluence of Computer Science, Computational Mathematics, Statistics and Management. Data engineering involves data collection methods, designing enterprise data storage and retrieval. The core data science subjects focus on data analytics, visualization, predictive modeling and analytics for data-driven decision making. Knowledge representation, machine learning, artificial intelligence, deep learning will be taught with relevant case studies. The students can study industry-specific, custom-designed program electives on blockchain technologies, quantum computing, data forensics, data privacy, algorithmic trading, and data security. Students can also opt for a minor specialization in either business, finance or healthcare analytics.
The course targets placements and internships in top data science companies like CapGemini, Cartesian Consulting, Oracle, Publicis Sapient, Wipro Ltd, and in domains such as finance, business, economics, and healthcare. The Institution has also tied up with foreign universities and promotes a semester abroad. On completion of three years of the B.Tech course, students can opt for an integrated Master’s program in a partner university abroad.
BTech Data Science Engineering course deals with the study of the gathering of information from an enormous amount of data present in an organisation’s depository. Students who want to pursue BTech Data Science and Engineering should pass 10+2 in the science stream with subjects like Physics, Chemistry, Mathematics and Computer Science.
Passed the 10+2 examination with Physics and Mathematics as compulsory courses and any one course from Chemistry/ Computer Science/Electronics/Information Technology/ Biology/Informatics Practices/ Biotechnology/ Technical Vocational subject/ Agriculture/ Engineering Graphics/ Business Studies/Entrepreneurship. Obtained at least 50% marks in the above 2 compulsories and any one selected (from list of 12) subjects taken together. OR Passed min. 3 years Engineering Diploma examination with at least 50% marks
One of the important factors when considering a master's degree is the cost of study. Luckily, there are many options available to help students fund their master's programme. Download your copy of the Scholarship Guide to find out which scholarships from around the world could be available to you, and how to apply for them.
Data science comprises of the study of data. Data science involves creating means through which data can be recorded, stored, and analysed to properly extract important information.
What does a Data Science course entail
A data science course can be a professional degree or diploma that can help you gain the insight and training you may need to kick start your career in the data science industry.
Is Data Science a good career?
From a return on investment perspective, data science is a well paying industry. As a data scientist you must be prepared for constant challenges and must display an initiative towards upgrading your knowledge regularly.
Which is the best course in Data Science?
Since data science is such a varied field, it is important to do some basic research and find out which aspects of data science you are interested in.
B.Tech. - CSE (Data Science) - IBM
GD Goenka University, Gurugram, India
48 monthsProgram duration
599,000 INRTuition Fee/year
30 Sep, 2025Application Deadline
YesScholarships
Program overview
Main Subject
Computer Science and Information Systems
Degree
BTech
Study Level
Undergraduate
Study Mode
On Campus
Data Science has become one of the fastest growing fields. Data science combines maths, statistics, specialized programming, advanced analytics and AI to uncover actionable insights hidden in an organization’s data. This course makes you to learn how data science can unlock business insights, accelerate digital transformation and enable data-driven decision making. This course is specifically intended for individuals / professionals with programming skills and combine it with statistical knowledge to create insights from data. This programme has collaboration with IBM, that gives you exactly the breadth and depth which requires to be an expert in the field of data analysis, data visualization and Data Scientist.
BTech Data Science and Engineering is an undergraduate degree programme in the field of engineering, the course duration is four-year which is divided into eight semesters. The BTech Data Science and Engineering course provides knowledge on the process of cleansing, collecting, and modifying data in order to perform complex analyses of data.
The B.Tech program in Data Science & Engineering trains engineering graduates to be skilled Data Scientists. The emphasis is on core data science subjects along with the related computational mathematics, statistics, and computer science subjects.
Data Science is a unique multidisciplinary confluence of Computer Science, Computational Mathematics, Statistics and Management. Data engineering involves data collection methods, designing enterprise data storage and retrieval. The core data science subjects focus on data analytics, visualization, predictive modeling and analytics for data-driven decision making. Knowledge representation, machine learning, artificial intelligence, deep learning will be taught with relevant case studies. The students can study industry-specific, custom-designed program electives on blockchain technologies, quantum computing, data forensics, data privacy, algorithmic trading, and data security. Students can also opt for a minor specialization in either business, finance or healthcare analytics.
The course targets placements and internships in top data science companies like CapGemini, Cartesian Consulting, Oracle, Publicis Sapient, Wipro Ltd, and in domains such as finance, business, economics, and healthcare. The Institution has also tied up with foreign universities and promotes a semester abroad. On completion of three years of the B.Tech course, students can opt for an integrated Master’s program in a partner university abroad.
BTech Data Science Engineering course deals with the study of the gathering of information from an enormous amount of data present in an organisation’s depository. Students who want to pursue BTech Data Science and Engineering should pass 10+2 in the science stream with subjects like Physics, Chemistry, Mathematics and Computer Science.
Program overview
Main Subject
Computer Science and Information Systems
Degree
BTech
Study Level
Undergraduate
Study Mode
On Campus
Data Science has become one of the fastest growing fields. Data science combines maths, statistics, specialized programming, advanced analytics and AI to uncover actionable insights hidden in an organization’s data. This course makes you to learn how data science can unlock business insights, accelerate digital transformation and enable data-driven decision making. This course is specifically intended for individuals / professionals with programming skills and combine it with statistical knowledge to create insights from data. This programme has collaboration with IBM, that gives you exactly the breadth and depth which requires to be an expert in the field of data analysis, data visualization and Data Scientist.
BTech Data Science and Engineering is an undergraduate degree programme in the field of engineering, the course duration is four-year which is divided into eight semesters. The BTech Data Science and Engineering course provides knowledge on the process of cleansing, collecting, and modifying data in order to perform complex analyses of data.
The B.Tech program in Data Science & Engineering trains engineering graduates to be skilled Data Scientists. The emphasis is on core data science subjects along with the related computational mathematics, statistics, and computer science subjects.
Data Science is a unique multidisciplinary confluence of Computer Science, Computational Mathematics, Statistics and Management. Data engineering involves data collection methods, designing enterprise data storage and retrieval. The core data science subjects focus on data analytics, visualization, predictive modeling and analytics for data-driven decision making. Knowledge representation, machine learning, artificial intelligence, deep learning will be taught with relevant case studies. The students can study industry-specific, custom-designed program electives on blockchain technologies, quantum computing, data forensics, data privacy, algorithmic trading, and data security. Students can also opt for a minor specialization in either business, finance or healthcare analytics.
The course targets placements and internships in top data science companies like CapGemini, Cartesian Consulting, Oracle, Publicis Sapient, Wipro Ltd, and in domains such as finance, business, economics, and healthcare. The Institution has also tied up with foreign universities and promotes a semester abroad. On completion of three years of the B.Tech course, students can opt for an integrated Master’s program in a partner university abroad.
BTech Data Science Engineering course deals with the study of the gathering of information from an enormous amount of data present in an organisation’s depository. Students who want to pursue BTech Data Science and Engineering should pass 10+2 in the science stream with subjects like Physics, Chemistry, Mathematics and Computer Science.
Admission requirements
Exam Scores
Important Dates
Passed the 10+2 examination with Physics and Mathematics as compulsory courses and any one course from Chemistry/ Computer Science/Electronics/Information Technology/ Biology/Informatics Practices/ Biotechnology/ Technical Vocational subject/ Agriculture/ Engineering Graphics/ Business Studies/Entrepreneurship. Obtained at least 50% marks in the above 2 compulsories and any one selected (from list of 12) subjects taken together. OR Passed min. 3 years Engineering Diploma examination with at least 50% marks
Tuition fee and scholarships
Tuition Fee
Scholarships
Domestic Students
International Students
One of the important factors when considering a master's degree is the cost of study. Luckily, there are many options available to help students fund their master's programme. Download your copy of the Scholarship Guide to find out which scholarships from around the world could be available to you, and how to apply for them.
In this guide you will find:
Where to look for scholarship opportunities
How to apply to scholarships relevant to you
A list of available scholarships around the world
A scholarship application checklist
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Frequently Asked Questions