A Detailed Guide to the BTech Data Science Syllabus

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One of the phenomenal industries that has been raising its head in recent years is the data science industry. 

Yes, the data science industry is one of the massively developing industries in recent years with a global market value of USD 129.72 billion by 2023.

With a great industrial scope, this industry is extending great career opportunities, thus persuading students to take up BTech CSE Data Science.

If you are also planning to pursue this course, then it is time for you to know about the syllabus of this course.

This blog from Universal AI University gives a detailed idea of the BTech Data Science Syllabus.

 

What is BTech Data Science?

The BTech in Data Science course is an exclusive undergraduate course designed to serve as the fundamental regimen imparting complete knowledge on the data science aspects in the techno world. 

This course involves inculcating knowledge on data extraction strategies, algorithms, methodologies, and incorporation of acquired data in developing automated systems and robotics.

BTech CSE Data Science course is offered for a duration of 4 years at Universal AI University.

 

What are the eligibility criteria for BTech Data Science?

The basic BTech Data Science eligibility requirements at Universal AI University are as follows:

 

  • Candidates should have completed a 10+2 with physics, chemistry, and mathematics as compulsory subjects and one optional science subject.
  • Candidates should have scored a minimum of 50% aggregate in 10+2. 

 

What is the fee structure and admission process to BTech Data Science?

B Tech Artificial Intelligence and Data Science Fees Structure at Universal AI University are as follows:

 

BTech in Data Science (Regular) INR 2.98 LPA
BTech in Data Science (Lateral Entry) INR 3.98 LPA

 

Admission to BTech Data Science at Universal AI University is provided by conducting the UBSAT entrance exam and personal interview.

Moving on, let us get to the primary part of this blog, i.e., the syllabus of BTech Data Science.

 

What is the syllabus of BTech Data Science?

The syllabus of the BTech Data Science course is designed in such a way that offers a complete knowledge of the data science aspects and techniques. Industrial experts have been indulging in developing the syllabus of the BTech Data Science course.

Here are the B Tech Data Science subjects.

 

Semester I Semester II
  • Introduction to Psychology and Business
  • Principles of Economics
  • SMART Project+LDP
  • Statistics&probability-1
  • Fundamentals of New Age Technologies
  • Fundamentals of Computer Science
  • Data analytics and visualization with Excel and R
  • Business Law & Ethics
  • Personality development &  effective communication
  • Intro to SDG, Innovation & Entrepreneurship
  • Database management System (No SQL & SQL)
  • Statistics & Probability-2
  • Elective UAIU
  • SQL-NoSQL, Relational Database Fundamentals & Data Analyst

 

Semester III Semester IV
  • Introduction to Business Analytics
  • Optimization & Decision analysis
  • CMAPS+LDP
  • Data Visualization (Power BI/ Tableau/ Open source) (Business perspective with Storytelling)
  • Design Thinking and Innovation
  • Data analysis and visualization fundamentals & Foundation of AI
  • Advanced Statistical techniques (Multivariate analysis)
  • CMAPS+LDP
  • Software engineering
  • Python Programming for Data Analytics (including EDA)
  • Intro to Data warehousing and Decision support systems
  • Data Integration and Processing

 

Semester V Semester VI
  • Ingenious technology and extended realities (IOT, AR, VR, MR, and Robotics)
  • Intro to Decision Science (w/o SAS) + SAS
  • INTERNSHIP
  • Advanced Analytics with Python (with Storytelling)
  • Operation Research
  • Big Data Analytics
  • AI in Sustainability
  • Capstone Project/Live Project
  • Research Project/Paper
  • Industry Practices, standards, and challenges

 

Semester VII Semester VIII
  • Simulation Modeling
  • Pricing analytics for revenue Management
  • Digital innovation and transformation
  • Emerging Technologies in the Global Business Environment
  • Cloud Computing for AI/ML
  • On Job Training

 

The entire BTech Data Science syllabus has been detailed and listed above.

Moving on, what can you do after pursuing a BTech Data Science degree?

 

What is the future after the BTech Data Science course?

Getting to know the future scope and career options of a course is as important as getting to know the syllabus. So, here is an insight into the career scope and options after a BTech Data Science degree.

The data science industry has shown significant growth in recent years and is expected to grow better in future years, thus extending great career opportunities for students with data science degrees. Take a look at the expected growth of the data science industry within the next few years.

Source: Precedence Research

A wide range of career options are available after graduation with a BTech Data Science degree. Here are some of the top career paths in data science by 2024.

 

Job Roles Average Salary in India(INR) Average Salary Abroad(considered US/USD)
Computer Vision Engineer 6.9 LPA 120,847
Data Analyst 6.24 LPA 70,676
Data Scientist 7.3 LPA 124,693
Data Engineer 8.4 LPA 128,631
Machine Learning Engineer 6.7 LPA 150,186
Big Data Architect 24 LPA 160,149
Business Intelligence Developer 6.3 LPA 100,635
Robotics Programmer 3.45 LPA 75,689
Software Engineer 6.94 LPA 108,807
Information and Multimedia Designer 3.5 LPA 56,792
Medical Information Scientist 5.0 LPA 103,784
IT Specialist 7 LPA 58,700
Information Network Manager 7.88 LPA 85,892

 

And also, you can choose to pursue higher education as well after a BTech Data Science degree. Some of them are as follows:

 

  • M.Tech in Artificial Intelligence
  • M.Tech in Data Science
  • M.Tech in Robotics
  • M.Tech in Computer Network Engineering
  • M.Sc in Artificial Intelligence
  • M.Sc in Data Science
  • M.Sc in Machine Learning

 

Conclusion:

With a clear idea of the BTech Data Science Syllabus and career scope, it is time for you to decide if this is your field of interest. So, start analyzing and make your decision to start your career in the data science industry.

 

FAQs:

 

  • What is the qualification for data science engineering?

The basic qualification required to pursue Data Science Engineering is to complete 10+2 with maths, physics, and chemistry as compulsory subjects with at least a 50% aggregate score.

 

  • What should I do after completing data science course?

One can either take up data science-oriented jobs such as data analyst, data scientist, machine learning engineer, etc. Or, can pursue further higher studies related to data science.

 

  • Is BTech data science hard or easy?

BTech Data Science is a bit high in standard as it involves certain complex subjects that form the backbone of data science and it takes effort to learn.

 

  • What skills does data science give you?
  • Statistical Analysis and Computing
  • Machine Learning
  • Programming
  • Data Wrangling
  • Database Management