BTech in Data Science and Analytics Admission 2024-25, Placements, Process, Faculties

B.Tech. Data Science and Analytics

B.Tech. Data Science and Analytics is a four-year undergraduate program that focuses on providing students with in-depth knowledge of data analytics, data mining, machine learning, and other related fields. The program equips students with the skills required to analyze complex data sets and make informed decisions using data-driven insights.

Core Curriculum:

Foundations of Computer Science: Introduction to programming languages, algorithms, data structures, and software engineering principles.

Mathematics and Statistics: Strong emphasis on mathematical concepts including calculus, linear algebra, probability, and statistics. These are fundamental for understanding algorithms and models used in data analysis.

Data Management: Study of databases, data warehousing, data cleaning, and data integration techniques.

Machine Learning and AI: Understanding the principles and applications of machine learning algorithms, neural networks, deep learning, and artificial intelligence for data analysis.

Data Visualization: Techniques for presenting data visually to aid in understanding and decision-making.

Big Data Technologies: Handling large-scale data using tools like Hadoop, Spark, and distributed computing systems.

Domain-specific Applications: Application of data science techniques in specific domains like finance, healthcare, marketing, etc.

Ethics and Data Privacy: Understanding the ethical implications of data collection, storage, and usage.

Skills Developed:

Programming Proficiency: Proficiency in languages like Python, R, SQL, etc.

Data Analysis: Ability to analyze large datasets using statistical and computational techniques.

Problem-Solving: Skills to tackle complex problems through data-driven approaches.

Critical Thinking: Ability to evaluate data and make informed decisions.

Communication Skills: Effectively conveying insights derived from data to diverse audiences.

Career Opportunities:

Graduates with a B.Tech. in Data Science and Analytics can pursue various career paths such as:

• Data Scientist
• Data Analyst
• Business Analyst
• Machine Learning Engineer
• Data Engineer
• Business Intelligence Analyst
• Research Analyst
• Predictive Modeler
• Importance in Today's World:

Data Science and Analytics are increasingly critical in various industries, including finance, healthcare, e-commerce, marketing, and more. Organizations rely on data-driven insights to make informed decisions, improve efficiency, and gain a competitive edge.

B.Tech. Data science and analytics Eligibility Criteria:

To be eligible for the B.Tech. Data Science and Analytics program, candidates must have completed their 10+2 education in the Science stream with Mathematics as a compulsory subject. Additionally, candidates must have cleared a relevant entrance exam, such as JEE Main, JEE Advanced, or BITSAT.

Educational Qualifications:

Completion of Higher Secondary Education (10+2): Applicants must have completed their secondary education with a strong foundation in Mathematics, Physics, and Chemistry or Computer Science.

Entrance Exams:

Entrance Exam Scores: Many institutes or universities conduct entrance exams for admission into B.Tech. programs. Scores from these exams might be required for admission consideration. Examples include:

• Joint Entrance Examination (JEE) Main
• State-Level Engineering Entrance Exams
• Institute-Specific Entrance Tests

Minimum Aggregate Marks:

Minimum Marks Requirement: A certain minimum aggregate score in the qualifying examination (typically 50-60% or higher) may be required by some institutions for eligibility.

Other Requirements:

Additional Tests or Interviews: Some institutions might conduct additional tests or interviews to assess a candidate's aptitude for the program.

B.Tech. Data Science and Analytics Highlights

B.Tech. Data science and analytics Selection Criteria:

Admission to the program is based on a candidate's performance in the entrance exam and their 10+2 examination. Candidates are required to score a minimum aggregate of 50% marks in their 10+2 examination to be considered for admission.

B.Tech. Data science and analytics Entrance Exam:

Candidates need to appear for a relevant entrance exam, such as JEE Main, JEE Advanced, or BITSAT.

B.Tech. Data science and analytics Duration:

The duration of the B.Tech. Data Science and Analytics program is four years.

B.Tech. Data science and analytics Fee:

The fee for the program varies across colleges and universities. On average, the fee ranges from INR 4-5 lakhs per annum.

B.Tech. Data science and analytics Syllabus:

The B.Tech. Data Science and Analytics program syllabus includes topics such as data mining, data analytics, machine learning, programming languages such as Python and R, and database management.

• Mathematics for Data Science
• Probability and Statistics
• Data Structures and Algorithms
• Programming in Python/R
• Database Management Systems
• Data Mining and Warehousing
• Machine Learning
• Big Data Analytics
• Data Visualization and Interpretation
• Artificial Intelligence
• Natural Language Processing
• Deep Learning
• Cloud Computing for Data Science
• Business Intelligence and Analytics
• Time Series Analysis
• Ethics and Privacy in Data Science
• Domain-specific Applications in Data Science
• Capstone Project or Internship

B.Tech. Data science and analytics Career Opportunities:

Graduates with a B.Tech. Data Science and Analytics degree can explore career opportunities in various fields such as data science, data analytics, machine learning, and artificial intelligence. They can work as data analysts, data scientists, data engineers, machine learning engineers, and data architects, among other roles. The average salary for a B.Tech. Data Science and Analytics graduate in India is around INR 6-8 lakhs per annum.

B.Tech. Data science and analytics How to Apply:

To apply for the B.Tech. Data Science and Analytics program, candidates need to visit the official website of the college or university they are interested in and fill out the application form. They will also need to submit their academic transcripts, entrance exam scorecard, and other required documents.

B.Tech. Data science and analytics Application Process:

The application process for the B.Tech. Data Science and Analytics program typically involves the following steps:

• Visit the official website of the college or university you are interested in.
• Fill out the application form and upload the required documents.
• Pay the application fee (if applicable).
• Submit the application form.

B.Tech. Data science and analytics Highlights:

The B.Tech. Data Science and Analytics program equips students with the skills required to analyze complex data sets and make informed decisions using data-driven insights.

Graduates can explore career opportunities in various fields such as data science, data analytics, machine learning, and artificial intelligence.

The program duration is four years, and the fee ranges from INR 4-5 lakhs per annum on average.

Candidates must have completed their 10+2 education in the Science stream with Mathematics as a compulsory subject to be eligible for the program. Additionally, they must have cleared a relevant entrance exam such as JEE Main, JEE Advanced, or BITSAT.

Admission to the program is based on a candidate's performance in the entrance exam and their 10+2 examination. Candidates are required to score a minimum aggregate of 50% marks in their 10+2 examination to be considered for admission.

B.Tech. Data Science and Analytics is an undergraduate-level course. Data science is a multi-disciplinary field that utilizations logical techniques, procedures, calculations and frameworks to remove Data and bits of knowledge from organized and unstructured Data. Data science is a similar idea as Data mining and enormous Data: "utilize the most dominant equipment, the most dominant programming frameworks, and the most proficient calculations to take care of issues". Data science is an "idea to bind together measurements, Data examination, AI and their related techniques" so as to "comprehend and investigate genuine wonders" with Data. It utilizes systems and speculations drawn from numerous fields inside the setting of arithmetic, measurements, software engineering, and data science. Turing grant victor Jim Gray envisioned Data science as a "fourth worldview" of science (observational, hypothetical, computational and now Data-driven) and attested that "everything about science is changing a result of the effect of data innovation" and the Data downpour. In 2015, the American Statistical Association distinguished database the board, insights and AI, and circulated and parallel frameworks as the three developing fundamental expert networks.

Qualification 

• The base capability required for induction into this course is passed in 12th standard/identical assessment, with at any rate 55 percent in any subjects. The state loads up of specialized instruction of the vast majority of the states in India direct passageway tests for admission to the confirmation programs offered by different polytechnics in the state.

Job Areas

• Business Intelligence Units of Banks
• Technology Consultancy Companies
• Insurance Companies
• Analytics Solutions Providers
• Business Analytics & Research industry
• Information Management Services
• Software industry

B.Tech. Data Science and Analytics FAQ Answer with Question:

Q: What is the scope of a B.Tech. in Data Science and Analytics?

A: A B.Tech. in Data Science and Analytics offers extensive career opportunities across diverse industries. With the increasing reliance on data-driven decision-making, graduates can explore roles as data scientists, analysts, machine learning engineers, business intelligence analysts, and more. The scope includes domains such as finance, healthcare, e-commerce, and marketing, where professionals use data insights to optimize processes, make informed decisions, and drive innovation.

Q: What skills will I develop during a B.Tech. in Data Science and Analytics program?

A: Throughout the program, you will acquire a robust skill set that includes proficiency in programming languages like Python/R, data analysis techniques, statistical modeling, machine learning algorithms, data visualization, and database management. Additionally, you'll develop critical thinking, problem-solving abilities, and effective communication skills essential for interpreting and presenting data-driven insights.

Q: How does this program contribute to the industry's demand for data professionals?

A: The B.Tech. in Data Science and Analytics program aligns with the industry's needs by providing a comprehensive understanding of data analysis tools, techniques, and methodologies. Graduates equipped with these skills are in high demand across various sectors, contributing to the industry's need for experts capable of leveraging data to drive organizational success, innovation, and competitive advantage.

Q: Can I pursue higher education or specialized courses after completing this degree?

A: Yes, upon completing B.Tech. in Data Science and Analytics, you can pursue higher education opportunities such as Master's programs in Data Science, Analytics, Computer Science, Business Analytics, or related fields. Additionally, there are certifications and specialized courses available in emerging areas within data science, machine learning, AI, or domain-specific applications that can further enhance your expertise and career prospects.

Q: How is the curriculum of a B.Tech. in Data Science and Analytics designed to meet industry standards?

A: The curriculum is structured to cover foundational subjects in mathematics, statistics, programming, machine learning, and data analysis, aligning with the current industry trends and requirements. Moreover, the inclusion of practical projects, industry collaborations, internships, and exposure to real-world applications ensures that students are well-prepared to tackle industry challenges upon graduation.

Q: What are the future prospects and advancements in the field after completing this degree?

A: The field of Data Science and Analytics is continuously evolving. Graduates can expect continuous growth opportunities as new technologies, methodologies, and applications emerge. Advancements in AI, machine learning, big data technologies, and the Internet of Things (IoT) present exciting prospects for professionals to delve deeper into specialized areas or contribute to cutting-edge innovations in the industry.