The Essential Skills You Need to Succeed BTech in Data Science

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Btech in Data Science

With its footprint in almost every industry, data science has become more important now than ever. The reason for this is data transformation. 

We’ve all heard that “Data is the new oil”, which shows how valuable data is in today’s day and age. But unlike oil, data is everywhere, and each one of us generates data without even knowing it. 

 Data Scientists are like modern-day wizards with the knowledge and skills required to transform unstructured data into useful information and insights.

Are you considering taking up data science as your career?

If yes, then stay in touch with us and get to know the best courses and skills you need to start your career as a data scientist.

In this article, we will explore courses like BTech in Data Science and some skill sets you are required to succeed as a data scientist.

 

Highlights for BTech in Data Science at Universal AI University

Particulars

Values

Course Name

BTech in Data Science

Course Duration

4 Years

Examination Type

Semester Examination

Eligibility

10+2(with physics, chemistry, and mathematics with minimum 50% marks)

Admission Process

Entrance Examination

Average Salary

Rs. 8 LPA ( approx.)

Top Companies

Amazon, Flipkart, Cognizant,  Infosys, Walmart, Genpact, Microsoft, Jio

Job Position

Data Analyst,  Data Scientist, Statistician

                        

More Details on BTech in Data Science:  

Below are the fundamentals that you need to know to check whether you meet the requirements to get admission into the course BTech in Data Science at Universal AI University

Also Read: A Detailed Guide to the BTech Data Science Syllabus

 

Eligibility Criteria: 

Here are the basic details for BTech Data Science eligibility at Universal AI University or others.

Go through it to check your eligibility:

  • Candidates must have passed class 10+2 with Physics, Chemistry, and Mathematics as their main subjects with an extra subject of their choice.
  • Candidates must have secured at least a minimum of 50% aggregate marks in their 10+2.

 

Course Duration:

The course duration for BTech in Artificial Intelligence is 4 years. It will take you 4 years divided into 8 semesters to complete this course and become a professional in this field.

 

Admission Process: 

If you are interested in pursuing BTech in Data Science, then you must check out the admission criteria given below

Admission Process
  • Fill out the online application form available on the official website of the university.
  • The application fee is INR 2000.

Document Verification
  • You must have all the original documents required at the time of verification. It may include 10th and 12th marksheets.

Entrance Exam
  • Some popular entrance exams for B.Tech in 2024 include JEE Main, JEE Advanced, BITSAT and others.

Personal Interview
  • A Personal Interview is conducted to test the attitude, motivation, communication, and personality of the candidate.


BTech Data Science Syllabus & Subjects

Before jumping into any course without any prior knowledge is not a smart choice. Go through the detailed Data Science BTech Syllabus, and Data Science Subjects in BTech are mentioned below: 

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


Skills after BTech in Data Science degree:

Of course, the Data Science profession requires technical knowledge of Data Science tools and platforms. Among other technical skills, it is very important for someone who wants to make his career in Data Science to acquire some of the basic skills and programming languages mentioned below:

  • Programming skills ( Python, SQL, C++, Java, etc)
  • Statistics and Mathematics
  • Business understanding
  • Problem-solving skills
  • Analytical abilities
  • Communication skills

Some of the most frequently used data science techniques are : 

  • Statistical Inference
  • Linear Algebra
  • Machine learning techniques like Decision trees, support vector machines, clustering, and dimensional analysis.
  • Deep learning methods like supervised learning, unsupervised learning, and reinforcement learning.

Regardless of the method, the end goal of a data science professional is to make meaningful contributions to the business to create value for the company. So, if you are interested in pursuing a career in data science, then you must acquire all these skills mentioned above in order to become a successful data scientist.

 

Conclusion:

In conclusion, if you want to rock it in data science, then you must master all these essential skills mentioned above to succeed in BTech Data Science. From being proficient in programming languages like Python, Java, etc to a deep understanding of mathematics and statistics.

Moreover, keep working on basic skills such as communication skills, problem-solving, and critical thinking as well.

 

FAQs:

1.What skills are required to be a successful Data Scientist?

    • Statistics & Mathematics
    • Computer Science Knowledge
    • Business understanding
    • Analytical abilities
    • Communication skills

2.What do you think are the top 3 most important qualities of a data scientist?

    • Analytical skills
    • Problem-solving
    • Continuous Learning and Curiosity

3.How can I become a Data Scientist through BTech?   

After completing a BTech, you must acquire some skills,     knowledge, and practical experience. Learn some skills through online courses and certifications, build a portfolio and network, and apply for jobs and internships to obtain practical experience.

4.Is BTech enough for Data Science?

A BTech Degree can help become a data scientist, but it is not a requirement for all positions.