SET-00
Under Graduation
4 Years
Programme overview
B. Tech in CSE with specialization in Data Science (DS) is a new, exponentially growing field which consists of a set of tools and techniques used to extract useful information from data. The emphasis is on core data science subjects along with the related computational mathematics, statistics, and computer science subjects. The program introduces students to the various application domains like finance, business, and healthcare wherein data science can be used to make informed decisions. The programme encompasses data Science as an interdisciplinary, problem-solving oriented subject that learns to apply scientific techniques to practical problems.
The course curriculum involves a blend of data inference, algorithm development, and technology to analytically solve complex problems. The programme imparts a confluence of skills in three major areas of mathematical expertise, technology hacking skills and business strategy and acumen. The core of this programme is the ultimate use of enormous data in creative ways to generate business value. Hidden insights are brought to the fore to enable companies to make smarter business decisions. Data Science programme focus on practical classes and self-study during the preparation of datasets and programming of data analysis tasks. This programme is for students who are interested in learning about all aspects of uncovering facts from the available data. This programme is meant to mine out insights, so if you are a deep thinker with intense intellectual curiosity, and if adding value to understanding complex behaviors, trends and inferences excite you, this is the right choice.
Program Objectives
The objective of B.Tech in CSE (DS) program is to inculcate the students with the basic knowledge of engineering and to excel in technical profession/ industry and/or higher education by providing a strong foundation in mathematics, science and engineering.
Under graduate students is prepared to become a technically qualified engineer to address complex problems and be able to apply learned skills in engineering careers.
Candidates with following skills can opt for B.Tech in DS:
- Candidates who have the ability to use algorithms and rules to solve issues.
- Candidates who had the dream of becoming an entrepreneur
The objective of B.Tech(DS) program is to inculcate the students with the basic knowledge of engineering and to excel in technical profession/ industry and/or higher education by providing a strong foundation in mathematics, science and engineering.
Under graduate students is prepared to become a technically qualified engineer to address complex problems and be able to apply learned skills in engineering careers.
Highlights of B.Tech Data Science
- One of India’s first B.Tech Programs in Data Science
- Core Competency in Data Science, Computational Mathematics and Statistics
- Minor Specialization in Finance, Business, Health Care
- Multi-campus Model with mandatory student mobility in 4/5/6thsemester
- Industry collaboration for the teaching-learning process
- The option of Semester Abroad
- The option of Integrated Master’s Program with foreign universities
Program Outcomes
Data Science is a unique multidisciplinary course 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 block chain technologies, quantum computing, data forensics, data privacy, algorithmic trading, and data security. Students can also opt for a minor specialization in business, finance or healthcare analytics.
Career Path
- Database Administrators
- Data Architects
- Data Visualizes
- Data Engineers
- Data Ecologists
- Data Science Consultant
- Financial Modeler
- Clinical and Pharmaceutical Analyst
- Data Technologies Sp
Eligibility Criteria
Minimum percentage and others criteria for admission will be as per UGC/ Concerned Regulatory Bodies.
Provided below are the criteria that need to be met for the given course.
For National Students
- The Candidate should have passed 10+2 examination with Physics, Mathematics and English as compulsory subjects along with one of the Chemistry/ Biotechnology/ Biology/Technical Vocational subject.
- B Tech 2nd year (LEET): Diploma Engineering and Technology OR B.Sc. Degree and 10+2 with Mathematics OR Passed D.Voc. Stream in the same or allied sector.
For International Students
- Rule framed by University Grants Commission (UGC) and notified in its website www.ugc.ac.in will be followed for deciding the eligibility and admission of International students to various courses offered in Om Sterling Global University, Hisar.
Programme Syllabus
Semester I
S.No. | Subject |
---|---|
01. | Physics–I |
02. | Mathematics–I (Calculus & Linear Algebra) |
03. | Basic Electrical Engineering |
04. | Effective Communication Skills |
05. | Problem Solving using C |
06. | Physics Lab–I |
07. | Computer Programming Lab |
08. | Basic Electrical Engineering Lab |
09. | MOOC/Swayam/Online Courses |
Semester II
S.No. | Subject |
---|---|
01. | Mathematics–II |
02. | Web Designing |
03. | Chemistry-I/Biology |
04. | English |
05. | Web Designing Lab |
06. | Chemistry Lab-I / Biology Lab |
07. | English Lab |
08. | Environment Sciences |
09. | IT Workshop |
10. | Personality Development |
11. | MOOC/Swayam/Online Courses |
Semester III
S.No. | Subject |
---|---|
01. | Economics for Engineers |
02. | Probability & Statistics for Data Science |
03. | Analog & Digital Electronics |
04. | Data Structure & Algorithms |
05. | Operating System |
06. | Data Structure & Algorithms Lab |
07. | Operating System Lab |
08. | Python Programming Lab |
09. | Project-I |
10. | MOOC/Swayam/Online Courses |
Semester IV
S.No. | Subject |
---|---|
01. | Computer Networks |
02. | Advanced Statistics and Probability |
03. | Computer Organization & Architecture |
04. | Object Oriented Programming Using Java |
05. | Database Management System |
06. | Computer Networks lab |
07. | Object Oriented Programming Using Java Lab |
08. | Database Management System Lab |
09. | Business Communication and Presentation |
10. | MOOC/Swayam/Online Courses |
Semester V
S.No. | Subject |
---|---|
01. | Machine Learning |
02. | Design and Analysis of Algorithm |
03. | Formal Language & Automata Theory |
04. | Optimization Techniques |
05. | Elective-I |
06. | Design and Analysis of Algorithm Lab |
07. | Machine Learning Lab |
08. | R Programming Lab |
09. | Logical Reasoning and Thinking |
10. | Project-II |
11. | MOOC/Swayam/Online Courses |
Semester VI
S.No. | Subject |
---|---|
01. | NOSQL Database |
02. | Big Data Analytics |
03. | Elective-II |
04. | Elective-III |
05. | Open Elective-I |
06. | NOSQL Database Lab |
07. | Big Data Analytics Lab |
08. | Employability Skills |
09. | Project-III |
10. | MOOC/Swayam/Online Courses |
Semester VII
S.No. | Subject |
---|---|
01. | Advanced Machine Learning |
02. | Advanced Big Data Analytics |
03. | Elective-IV |
04. | Elective-V |
05. | Open Elective-II |
06. | Advanced Machine Learning Lab |
07. | Advanced Big Data Analytics Lab |
08. | Professional Skills |
09. | Project-III |
10. | MOOC/Swayam / Online Courses |
Semester VIII
S.No. | Subject |
---|---|
01. | Industrial Project |
02. | MOOC/Swayam / Online Courses |
S.No. | Elective-I (Semester-V) | Elective-II (Semester-VI) | Elective-III (Semester-VI) | Elective-IV (Semester-VII) | Elective-V (Semester-VII) |
---|---|---|---|---|---|
01. | Sampling Methods | Business Intelligence | Data Mining Techniques | Digital Image Processing | Social Media Analytics using R |
02. | Multivariate Statistical Analysis | Time series Analysis | Simulation Techniques | Computer Vision | Predictive Analysis using Python |
03. | Statistical Inference | Design and Analysis of Experiments | Probabilistic Graphical Models | Artificial Intelligence | Data Visualization |
S.No. | Open Elective-I (Semester-VI) | Open Elective-II (Semester-VII) |
---|---|---|
01. | Disaster Recovery and Business Continuity Management | Block Chain Technology |
02. | Mobile Application Development | UI and UX |
03. | Introduction to Human Body | Internet of Things |
04. | Mechanics Robotics |
How to Apply
If you are having any queries regarding the B. Tech/B. Tech (LEET) ME program you can fill-up the Admission Enquiry Form. If you have any second thoughts on which program to select you can reach out to us via the FREE tele-counseling option. Now, if you have decided that B. Tech/B. Tech (LEET) ME is the perfect course for you, and you want to start a highly-rewarding career in the process fill-up the online application now