Duration

4 Years Programme

Eligibility

10+2 with (PCM) from a recognized board.

Fees

INR 1,00,000/Year Only

Overview of the BTech (CSE) Data Science

The B.Tech in Computer Science Engineering (CSE) with a specialization in Data Science at Mangalayatan University, Jabalpur, is a program that is aimed at preparing the student for the ever-growing data-driven world. This program is focused on providing a solid foundation in computer science with a specialization in data analysis, machine learning, artificial intelligence, and big data technologies.

The program covers basic topics such as programming, data structures, algorithms, database management, and statistics, as well as advanced topics such as Python, R, and data visualization. The program is also focused on providing a learning experience for the student, as it helps the student understand the concepts of extracting useful information from complex data. This program is ideal for the current industry, as there is a growing demand for data professionals. This program can provide opportunities for a wide range of roles, from a data analyst to a data scientist to an AI specialist.

Programme Overview

  • Students must have passed 10+2 from a recognized board.
  • Physics and mathematics are compulsory subjects.
  • Must have studied chemistry/computer science/IT as an additional subject.
  • Minimum 50% aggregate marks in 12th (may vary as per norms).
  • Relaxation in marks for reserved categories as per university rules.
  • Admission is generally merit-based or through university criteria.

The B.Tech in Data Science program offered at the Jabalpur campus of the university is a four-year undergraduate program, which equips students with in-depth knowledge in the domain of data science and computer science engineering. The program is divided into eight semesters, with each semester including theoretical as well as practical knowledge in the subject. The initial years of the program are used to lay a strong foundation in the subject, with students learning the concepts of programming, mathematics, and basic engineering concepts. The subsequent years of the program are used to introduce students to advanced concepts in the subject, including machine learning, data analytics, artificial intelligence, big data technologies, etc. The final year of the program is used for internships, allowing students to learn the subject in a real-world setting, thus enhancing their employability in the data science domain.

  • To build a strong foundation in computer science and programming concepts.
  • To develop analytical and problem-solving skills using data.
  • To provide knowledge of data analysis, statistics, and visualization techniques.
  • To train students in machine learning and artificial intelligence concepts.
  • To help students understand big data technologies and tools.
  • To enhance practical skills through real-world projects and case studies.
  • To prepare students for industry-ready roles in data science and IT sectors.
  • To encourage innovation, research, and critical thinking.
  • To develop the ability to handle and interpret large datasets effectively.
  • To equip students with skills for continuous learning in evolving technologies.
  • Ability to apply programming and computer science fundamentals effectively.
  • Strong analytical skills to interpret and analyze complex data.
  • Proficiency in data analysis, visualization, and statistical techniques.
  • Understanding of machine learning and artificial intelligence concepts.
  • Capability to work with big data tools and technologies.
  • Skills to solve real-world problems using data-driven approaches.
  • Ability to design and develop efficient data-based solutions.
  • Experience in handling projects, internships, and practical tasks.
  • Improved teamwork, communication, and professional skills.
  • Readiness for careers in data science, IT, and related industries.
  • High demand for data science professionals across industries.
  • Attractive salary packages even for fresh graduates.
  • Future-proof career with growing relevance of AI and data.
  • Wide range of career options in tech and business fields.
  • Strong foundation in programming, statistics, and analytics.
  • Focus on real-world problem-solving using data.
  • Industry-oriented curriculum with modern tools and technologies.
  • Opportunities to work in global companies and markets.
  • Scope for higher studies and specialized certifications.
  • Excellent opportunities for innovation and research.

Here is the B.Tech Data Science Admission Process at Mangalayatan University, Jabalpur:

  • Fill out the application form (online or offline).
  • Enter personal and academic details correctly.
  • Submit/upload required documents (10th & 12th mark sheets).
  • Application is reviewed based on eligibility and merit.
  • Attend counseling or interaction (if required).
  • Receive an admission offer letter from the university.
  • Pay the admission fee to confirm your seat.
  • Complete document verification process.
  • Report to the campus for final admission formalities.
  • Start classes and attend orientation.

Here are the top career options after a B.Tech in data science course:

  • Data Scientist
  • Data Analyst
  • Machine Learning Engineer
  • Artificial Intelligence Engineer
  • Business Intelligence Analyst
  • Big Data Engineer
  • Data Engineer
  • Software Developer
  • Quantitative Analyst
  • Data Architect

These roles offer excellent growth opportunities across industries like IT, finance, healthcare, e-commerce, and consulting.

Faculty of Engineering for BTech (CSE) Data Science at Mangalayatan University, Jabalpur

The Faculty of Engineering at Mangalayatan University, Jabalpur, offers an excellent academic environment for students seeking a B.Tech in Computer Science and Engineering with a specialization in Data Science. The faculty comprises knowledgeable and experienced teachers who are well versed in the field and have the required industry knowledge. They help the students not just with the regular computer science subjects but also with the latest trends in the field, such as data analytics, machine learning, and artificial intelligence.

The teaching methodology at the Mangalayatan Faculty of Engineering is such that it tries to make the learning as practical as possible. Instead of just teaching the students by following the textbook, the teachers try to make the students understand the concept of data science and its application in the industry. They also help the students personally and try to improve their problem-solving skills.

Furthermore, the faculty members arrange workshops, seminars, and interactive sessions with the students, keeping them updated with the latest trends in the technology field. The focus of the faculty members is not only on the academic success of the students, but they are also keen on equipping the students with skills that are vital in the real world. With the guidance of the faculty members, the students are prepared to become competent data science professionals in the real world.

Why Choose MUJ for BTech Data Science Course Admission

MA-Psychology
  • Here are the reasons to choose MUJ for the B.Tech Data Science course admission.
  • Industry-focused curriculum covering AI, machine learning, and data science.
  • Experienced faculty who provide both theoretical and practical guidance.
  • Modern labs and smart classrooms for a better learning experience.
  • Good placement support with opportunities in reputed companies.
  • Internship opportunities to gain real industry exposure.
  • Strong focus on practical learning through projects and real-world tasks.
  • Well-equipped campus with a library, Wi-Fi, and other facilities.
  • Scholarship options available for deserving students.
  • Encourages overall development through extracurricular activities.
  • Focus on innovation, research, and skill-based learning.

Frequently Asked Questions (FAQs)

It is a course in which you learn how to collect, analyze, and interpret large amounts of data and make better decisions in both business and technology-related fields.

Data science is the backbone of any successful business. Data scientists are in high demand, and it also offers good salary packages.

Statistics, data analysis, programming, machine learning, big data technology, and data visualization are some of the subjects you’ll study in this course.

Yes, coding is also necessary in this field, especially in languages like Python and R, but you don’t need to know them before joining this course because you’ll learn them from scratch.

You can become a data scientist, data analyst, business analyst, or data engineer or work in AI-related jobs. 6. Does this course include real-world projects?

Yes, students work on case studies, datasets, and live projects to understand practical applications of data science.

Yes, you can move into AI, machine learning, business analytics, or even management roles with further studies.

Higher Education Opportunity After BTech Data Science Program

After completing their B.Tech in Data Science at Mangalayatan University, Jabalpur, there are a wide variety of options available to them to further enhance their knowledge in this field and move ahead in their respective careers. They can choose to do an M.Tech/M.S. in Data Science, Artificial Intelligence, Machine Learning, or Computer Science to further enhance their knowledge in this field. Students can also choose to do an MBA in business analytics, IT, or operations if they want to move into a managerial role in this field. Students can also choose to do a postgraduate diploma or a certification program in big data, cloud computing, data analytics, etc., from a reputable institution. Students can also choose to do a Ph.D. in data science if they are more interested in a research career in this field.

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Facilities

  • Industry oriented Curriculum
  • Globally recognised Programs
  • Eco-Friendly Big Campus
  • Eminent faculty from Academia & Industry
  • Digital Classroom & Wi-fi Campus
  • Upto 100% Scholarship for meritorious Students
  • Indoor & Outdoor Sports facility
  • Centrally AC Classrooms
  • Dynamic Placement Cell
  • Scholarships & Stipend from Government
  • Core values Adherence & Disciplined Environment
  • Digital Classroom & Wi-fi Campus
  • Excellent Library, Laboratories at Hi-tech Computer Labs
  • Industrial / Educational Tour for hands-on Learning