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BTech Data Science Syllabus comprises 8 semesters that involve the subjects related to data extraction and its analysis by using various computer technology techniques and hacks. This course gives students the skills, knowledge and tools needed to handle complex data from all possible domains See Also: B Tech Courses
It is a 4-year undergraduate program that prepares students to manage, acquire and elicit meaning from data for proper decision-making in the business world. This program is suitable for students who are interested in learning the skills of data extraction and presenting reports, and presentations on the basis of the data.
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Table of Contents
B Tech Data Science Course Details
| Course Level | Undergraduate Degree |
| Full-Form | Bachelor of Technology in Data Science |
| Duration | 4 years |
| Eligibility | 70% aggregate in 10+2 standard with PCM and Maths as a mandatory subject with 50% score |
| Admission Process | Entrance Exam/Merit Based |
| Course Fee | Ranges from INR 2-3 Lakhs |
| Average Salary | Up to 10 Lakhs per annum |
| Top Recruiting Companies | Amazon, Capgemini, Wipro, Infosys, TCS, IBM, HCL, Quick Heal, SYNTEL and others |
| Job Positions | Data Architects,Data Science Consultant, Financial Modeler, Data Engineers, Clinical and Pharmaceutical Data Analyst, Database Administrators and positions alike |
| Higher Study Options | MTech., MBA |
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B Tech Data Science Syllabus
B Tech Data Science helps students to excel in Computer Science and Engineering education, research and project management by empowering the students with strong conceptual knowledge.
| Semester 1 | Semester 2 |
|---|---|
| Professional English and Soft Skills /Engineering Graphics and Computer-Aided Design | Analytical Mathematics |
| Matrices and Calculus | Engineering Physics/ Engineering Materials |
| Engineering Physics/Engineering Materials | Professional English and Soft Skills /Engineering Graphics and Computer-Aided Design |
| Problem Solving Using C | Introduction to Digital Systems / Engineering and Design |
| Introduction to Digital Systems / Engineering and Design | Sustainable Engineering Systems |
| Engineering Immersion Lab | Data Structures |
| Engineering Physics Lab/ Materials Chemistry Lab | Python for Data Science |
| - | Engineering Immersion Lab |
| - | Engineering Physics Lab/ Materials Chemistry Lab |
| Semester 3 | Semester 4 |
| Applied Linear Algebra | Discrete Mathematics |
| Design and Analysis of Algorithms | Digital Marketing Analytics |
| Database Management Systems | Data Wrangling |
| Java Programming | Data Handling and Visualization |
| R for Data Science | Department Elective-II |
| Department Elective-I | Non-Department Elective–II |
| Non-Department Elective- I | Data Wrangling Lab |
| Database Management Systems Lab | Data Handling and Visualization lab |
| - | Design Project-I |
| - | Internship |
| Semester 5 | Semester 6 |
| Probability and Statistics | Software Project Management |
| Business Intelligence and Analytics | Machine Learning |
| Predictive Modeling and Analytics | Data Warehousing and Data Mining |
| Artificial Intelligence | Modern Software Engineering |
| Professional Ethics and Life Skills | Business Economics |
| Department Elective-III | Department Elective-IV |
| Non-Department Elective–III | Non-Department Elective–IV |
| Business Intelligence and Analytics Lab | Data Mining Tools Lab |
| Design Project with IoT | - |
| Semester 7 | Semester 8 |
| Text Analytics and Natural Language Processing | Project & Viva – voce |
| Big Data and Analytics | - |
| Time series analysis and Forecasting | - |
| Deep Learning | - |
| Department Elective–V | - |
| Non-Department Elective-V | - |
| Real-time Case Study Lab | - |
| Design Project-III | - |
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B Tech Data Science Subjects
This course enables students to attain the in-depth knowledge of computer technology subjects in addition with the data science subjects. The important subjects of B Tech Data Science are
- Python for Data Science - Students will learn to identify the need for data science and solve basic problems using Python built-in data types and their methods. They will learn to do data preprocessing and visualization using Pandas. See Also: Python Courses
- Database Management Systems - In this students will learn the basic concepts of database systems. Learn Object-oriented dB, Distributed dB, XML, data warehousing and Mobile database. See Also: Database Management Courses
- JAVA Programming - In this students will learn to apply Java-based code for solving low-complexity problems and develop GUI-based applications using Applet and AWT. See Also: Java Courses
- R for Data Science - This will help to identify and execute basic syntax and programs in R. It also includes Performing the Matrix operations using R built-in functions. See Also: R Courses
- Data Handling and Visualization - This will help to Understand the basics of Data Visualization, Write programs on visualization of time series, proportions & associations. Check Out: Data Visualization Courses
B.Tech Course Details:
B Tech Data Science Electives
The Electives in Data Science are:
- Intelligent Database System
- Image Analytics
- Statistical Inference for Data Science
- Social Network Analytics
- High-Dimensional Data Analysis
- Stream Processing and Analytics
- SAS Programming
- IoT cloud and data analytics
- Cyber Forensic analytics
- Nature-Inspired Computing
See Also: How to become a Database Manager
Syllabus for B Tech Data Science NIIT University (NU)
The syllabus for B Tech Data Science NIIT University is :
| Semester 1 | Semester 2 |
|---|---|
| Calculus | Algebra and Differential Equations |
| Science – I | Science – II |
| Fundamentals of Electronics | Environmental Science |
| Fundamentals of Computer Programming (Python) | Data Structures (with Python) |
| Workshop Practice | Engineering Graphics |
| Communication Skills | HSSM-I |
| Community Connect | Community Connect |
| Semester 3 | Semester 4 |
| Probability & Random Process | Design & Analysis of Algorithms |
| Foundations of Data Science | Statistical Methods for Data Science |
| Discrete Mathematics | Optimisation for Data Science |
| Object Oriented Programming (with Java) | Operating Systems |
| Data Visualisation | Database Management Systems |
| HSSM-II | HSSM-III |
| Community Connect | Community Connect |
| Semester 5 | Semester 6 |
| Foundations of Machine Learning | Introduction to Artificial Intelligence & Deep Learning |
| Natural Language Processing & Text Analytics | Professional Elective – I |
| Digital Image Processing | Professional Elective – II |
| Inferential Statistics for Data Science | Capstone Project — I |
| Open Elective – I | R & D Project |
| HSSM-IV | HSSM-V |
| Community Connect | Community Connect |
| Semester 7 | Semester 8 |
| Professional Elective – III | Industry Practice / Project |
| Professional Elective – IV | - |
| Professional Elective – V | - |
| Open Elective – II | - |
| Open Elective – III | - |
| Capstone Project — II | - |
| Community Connect | - |
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B Tech Data Science Books
The important books for B Tech Data Science are:
| Books | Author |
|---|---|
| Engineering Physics Practicals, Dhanam Publications, Chennai, 2005 | P. Mani |
| “Introduction to Programming using Python”, Pearson,2012 | Y. Daniel Liang |
| JAVA The Complete Reference”, 10th Edition, McGraw Hill Education, 2017. | Herbert Schildt |
| Fundamentals of Data Visualization: A Primer on Making Informative and Compelling Figures”, 1st edition, O’Reilly Media Inc, 2019. | Claus Wilke |
| "Miller and Freund’s Probability and Statistics for Engineers", Pearson Education, Asia, 7th Edition, 2007. | Johnson. R.A. and Gupta. C.B. |
| Software Project Management – Fifth Edition, Tata McGraw Hill, New Delhi, 2012. | Bob Hughes, Mike Cotterell and Rajib Mall |
B Tech Data Science Top Colleges
The list of top B Tech Data Science colleges in India are
| Names of the College | Average Fees |
|---|---|
| Sharda University | INR 7.48 Lakhs |
| NMIMS University (Mukesh Patel School of Technology Management and Engineering) | INR 12.46 Lakhs |
| Jagannath University | INR 2.6 Lakhs |
| JIET Institute of Design and Technology | INR 3.6 Lakhs |
| Glocal School of Science and Technology | INR 4.81 Lakhs |
| Dev Bhoomi Uttarakhand University | INR 1.6 Lakh |
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B Tech Data Science: FAQs
Ques. What are the subjects in B Tech Data Science?
Ans. The subjects in B Tech Data Science are Engineering Physics, Programming for Problem-solving, Soft Skills, Introduction to Artificial Intelligence and Machine Learning, Maths etc
Ques. Is B Tech in DataScience good?
Ans. There are abundant job opportunities and career opportunities for B Tech Data Science.B Tech Data ScienceGraduates can work in different sectors like Artificial Intelligence offices, MNCs, Education and many more.
Ques. What are the Technical skills required for Data Scientist?
Ans. Technical Skills that are required for Data Scientists are:
- Deep Learning
- Data Visualization
- Programming
- Statistical analysis and computing
- Machine Learning
- Processing large data sets
Ques. Who is the father of Data Science?
Ans. William S. Cleveland is known as the father of Data Science.In 2001, he advocated an expansion of statistics beyond theory into technical areas because this would significantly change the field.
Ques. Is Data Science hard?
Ans. Data science is difficult because it requires a broad set of knowledge and skills. The core elements of Data Science are Maths, Statistics and Computer Science. Maths includes linear algebra, probability theory, statistics theory etc
Ques. Do Data scientists code?
Ans.Yes, Data Scientists code. Most Data scientists have to know how to code, even it is not a daily task.
Ques. What is the average salary of a Data Scientist?
Ans. The average salary of a Data Scientist is INR 10.1LPA.
Ques. What is the future of DataScience in India?
Ans. Implementation of data science and analytics, artificial intelligence and machine learning have made data management highly convenient, with most of them making their way to India. The demand for Data Scientists is expected to surge across various sectors with many improved opportunities.
Ques. Which city is best for Data Scientists in India?
Ans. Bengaluru, Gurugram, Chennai and Pune are some of the biggest hubs for data science and related job roles.
Ques. Is B Tech necessary for Data Scientists?
Ans. Students who want to become successful Data Scientists need a set of technical skills. They must also have a bachelor’s degree or master’s degree in data science. They must also know R programming, Python coding and how to use the Hadoop platform and ApacheSpark.
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