Graduates from this programme have a wide range of future opportunities in various industries. Here’s a detailed breakdown:

Job Roles Opportunities

• Data Scientist
   
• Machine Learning Engineer
   
• Data Analyst
   
• AI Developer
   
• Business Intelligence (BI) Analyst
   
• Big Data Engineer
   
• Data Engineer
   
• Cloud Data Architect
   

Some Hiring Industries

• Information Technology (IT): IT companies heavily rely on data science for software development, system improvements, AI, machine learning applications, and providing data-driven services to clients.
• Healthcare: Data science is transforming healthcare through predictive analytics, personalised treatments, patient care optimisation, and managing health records efficiently.
• Finance and Banking: Data scientists are critical in areas like fraud detection, risk management, customer behavior analysis, and financial forecasting.
• Retail and E-commerce: Use of data science to improve customer experience through personalised recommendations, optimising inventory, pricing strategies, and analysing consumer behaviour.
• Telecommunications: Analyse large volumes of data to improve network performance, enhance customer experience, and develop better pricing models and services.
• Marketing and Advertising: Companies in this sector use data science to design targeted campaigns, perform market segmentation, and understand consumer behavior.
• Manufacturing and Supply Chain: Data-driven decision-making in manufacturing helps optimise production processes, inventory management, and predictive maintenance of machinery.
• Government and Public Sector: Government bodies use data science for policy formulation, traffic management, fraud detection in public services, and improving urban planning.
• Energy and Utilities: Data science helps in predictive maintenance, optimising energy use, and improving operational efficiency in energy distribution and renewable energy sectors.
• Entertainment and Media: Streaming platforms, media houses, and entertainment companies use data analytics to recommend content, analyse viewer preferences, and optimise user engagement.

Higher Studies and Research Opportunities

• M.Tech (Data Science/Artificial Intelligence/Machine Learning): Advanced study options focusing on deep specialisation in data science techniques, algorithms, and cutting-edge technologies.
• PhD in Data Science or related fields: Opportunity to dive into research on new methods, algorithms, or applications of data science in specific sectors like healthcare, AI, or robotics.
• Specialised Certifications (e.g., Data Science, Cloud Computing, Machine Learning): Enhancing career prospects by getting certified in specific tools and platforms like AWS, Google Cloud, or Microsoft Azure.

Choosing to pursue a B.Tech in Computer Science & Engineering with a Specialisation in Data Science offers a range of advantages, especially with the growing demand for data experts in every industry. Here are a few compelling reasons why you should consider this programme:

High Demand for Data Science Skills

Data science is one of the fastest-growing fields globally. As businesses become more data-driven, they need skilled professionals who can analyse and interpret data to make informed decisions.

Versatile Career Opportunities

Graduates can explore a wide variety of roles, from data scientists and machine learning engineers to business intelligence analysts. These roles span across industries such as IT, healthcare, finance, retail, and more.

Hands-on Learning and Industry Exposure

This programme emphasises practical knowledge. You will engage in real-world projects, internships, and case studies that prepare you for the challenges of the industry from day one.

Future-Proof Career

With advancements in artificial intelligence and automation, data science is critical for the future. Learning these skills not only prepares you for today's job market but also equips you for future opportunities in AI, machine learning, and big data.

This B.Tech specialisation in Data Science is offered in collaboration with TCS-iON, which adds immense value to the curriculum and student experience. Here's how:

Industry-Relevant Curriculum

With input from TCS, the programme offers an up-to-date and relevant syllabus, ensuring that students learn the latest tools and techniques in data science.

Real-World Projects

Students have the opportunity to work on TCS-driven projects and case studies, allowing them to gain practical experience and understand how data science is applied in real-world scenarios.

Certifications and Credentials

Upon completion of the programme, students receive certifications from TCS-iON, adding credibility to their qualifications and making them more attractive to potential employers.

Internship and Placement Opportunities

The collaboration with TCS-iON provides students with opportunities for internships and placements within the company and its extensive network of partners, enhancing their career prospects significantly.

The B.Tech (CSE) with specialisation in Data Science programme at TMU is a four-year, full-time programme divided into eight semesters. Each semester consists of theoretical classes, lab sessions, and project work. This structure allows students to develop both conceptual understanding and practical skills.

Core Subjects in Computer Science

Some of the core subjects covered in the first few semesters include:

• Data Structures and Algorithms
• Computer Networks
• Operating Systems
• Database Management Systems

Data Science Specialisation Subjects

As part of the Data Science specialisation, students will study:

• Introduction to Data Science: Understanding basic concepts and tools.
• Big Data Analytics: Analysing large datasets to derive insights.
• Predictive Modeling: Using statistical techniques to predict future trends.
• Machine Learning: Algorithms and techniques for building intelligent systems.

With a balanced approach that blends theory and practical experience, the B.Tech (Computer Science & Engineering) with a Specialisation in Data Science programme at Teerthanker Mahaveer University (TMU) is designed to equip students with the necessary skills to excel in the rapidly evolving fields of data science and computer science. The programme emphasises technical proficiency and problem-solving abilities, preparing graduates for a range of exciting career opportunities. Here are several reasons why TMU is a great choice for this programme:

NAAC ‘A’ Accredited University

Teerthanker Mahaveer University (TMU) proudly holds an 'A' grade accreditation from the National Assessment and Accreditation Council (NAAC), showcasing the university’s commitment to maintaining excellent academic standards, offering modern facilities, and creating a nurturing academic environment for students.

82% Outstanding Placement Rate

TMU has a proven track record of success, with 82% of its graduates landing jobs after completing their studies. This highlights how well the university’s programmes are aligned with industry needs, making it a great choice for students looking to jumpstart their professional careers.

100% Placement Assistance

TMU doesn’t just provide education—it also supports students in the transition to the workforce by offering 100% placement assistance. The university’s comprehensive approach ensures students are ready to enter the job market or continue with higher studies confidently.

AAA Rating by Careers 360

The university has been awarded a prestigious AAA rating by Careers 360, recognising its outstanding performance in academics, wide variety of programme offerings, and the high quality of its faculty. This rating reflects TMU’s dedication to preparing students for the competitive job market.

Programmes with Multiple Specialisations

Understanding the need for focused skills in today's job market, TMU offers various specialisations across its programmes. This flexibility allows students to tailor their education to match their interests and career goals, giving them an edge when entering the workforce.

Collaborations with IBM, TCS

TMU has partnered with leading industry giants like IBM and Tata Consultancy Services (TCS). These collaborations link academic theory with real-world practice, providing students with invaluable exposure to industry insights and advanced technologies, setting them up for future success.

Training Opportunity in ISRO START Programme

TMU students have the unique chance to participate in the Indian Space Research Organisation's (ISRO) START programme, offering hands-on experience in space technology. This training opens doors for those interested in careers in the aerospace industry and beyond.

Well-Equipped Modern Labs

TMU offers access to cutting-edge laboratories where students can put theory into practice. These modern labs are designed to encourage innovation and research, helping students build a strong foundation through practical application.

Apple Authorised Lab

One of the standout features of TMU is its Apple Authorised Lab, which provides students with the opportunity to work with the latest Apple technology. This not only enhances their learning experience but also equips them with essential skills for a technology-driven world.

Expert Faculty Guidance

TMU’s faculty comprises highly qualified professionals with extensive experience in both academia and industry. Their expert mentorship ensures that students are well-prepared for both academic success and their future careers.

To get admission into the B.Tech (Computer Science & Engineering) with specialisation in Data Science programme at TMU, candidates usually need to meet specific educational qualifications requirements, as required according to the programme. The admission process usually involves submitting an application form along with the necessary supporting documents.

Generally, candidates may also need to appear in entrance exams as part of the admission process to ensure they meet the academic standards of the programme.

To get all the details about the programme just visit to our website.

Step-by-Step Guide for Admission in TMU

TMU’s admission process is designed to be simple and stress-free. Here’s a step-by-step guide for taking admission to B.Tech (Computer Science & Engineering) with specialisation in Data Science programme:

• Application Submission: Fill out the application form available on TMU’s admission page.
• Document Requirements: Submit required documents, including educational certificates,

ID proof, and passport-sized photographs.

Reach out to us at our contact number 18002701490 for any query or assistance regarding admission.

For personalised assistance or queries regarding the programme or admission, call TMU’s dedicated admission cell at 18002701490. Alternatively, visit the admission page on TMU’s social media for more details.

• TMU is proud of its B.Tech (Computer Science & Engineering) with specialisation in Data Science programme Alumni, many of whom have gone on to hold prominent positions in major corporations. 
• These success stories are a testament to the quality of education and the opportunities available to B.Tech (Computer Science & Engineering) with specialisation in Data Science graduates.
• These Alumni success stories serve as inspiration for current students, showcasing the potential career paths and achievements possible with this programme.

B.Tech (Computer Science & Engineering) with Specialisation in Data Science at Teerthanker Mahaveer University (TMU) is more than just a degree. It's a gateway to a successful career in one of the most dynamic fields today. 

By integrating theoretical knowledge with hands-on experience, TMU ensures that students are not only well-versed in core computer science principles but also adept at applying data science techniques in real-world scenarios. 

The programme's strong emphasis on practical skills, industry collaboration, and cutting-edge resources makes it an ideal choice for students aspiring to thrive in the rapidly evolving tech landscape. Graduates leave with a robust foundation in data science, ready to tackle complex challenges and contribute meaningfully to the industry.

 Whether you aim to become a data scientist, a machine learning engineer, or a data analyst, this programme equips you with the tools and expertise to succeed and make a significant impact.

Q What is B Tech in computer science with specialisation in data science?

Ans: B.Tech in Computer Science with specialisation in Data Science is a four-year undergraduate engineering programme that combines core computer science knowledge with advanced data science skills and prepares students to analyse, interpret, and manage large datasets to solve real-world problems.

Q Who is eligible for BTech Computer Science Engineering with specialisation in Data Science?

Ans: Candidates with completion of 10+2 (or equivalent) with Physics, Chemistry, and Mathematics as core subjects, are eligible for admission to BTech Computer Science Engineering with specialisation in Data Science. However, some colleges or universities also require exam scores like JEE for eligibility, but this may vary depending on the rules of multiple universities or colleges.

Q What is the scope of Computer Science Engineering Data Science?

Ans: The scope of Computer Science Engineering in Data Science is broad, as it offers career opportunities in sectors like IT, healthcare, finance, and e-commerce, where professionals work as data scientists, machine learning engineers, or data analysts, where they can make data-driven decisions to improve business outcomes.

Q How can I apply for the B.Tech (Computer Science & Engineering) with specialisation in Data Science program?

Ans:Apply online through TMU’s admission portal or contact the admission cell for assistance.

Q What is the last date to get admission in BTech Computer Science Engineering with specialisation in Data Science?

Ans: For detailed information and the last date of admission, consult TMU’s admission office or website.