B. Tech. CST (AI & Digital Systems)

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  • Fundamentals of artificial intelligence – Understand AI principles, including intelligent agents, knowledge representation, and problem-solving techniques.
  • Data science & big data analytics – Study data processing, statistical analysis, and visualization to extract valuable insights from large datasets.
  • Machine learning models – Learn how to design, train, and optimize machine learning models for prediction, classification, and pattern recognition.
  • Deep learning – Delve into neural networks and deep learning architectures for applications like image recognition, natural language processing, and predictive analytics.
  • Natural language processing (NLP) – Understand techniques for processing and analyzing human language, powering applications like chatbots and translation.
  • Data mining & predictive analytics – Discover how to extract patterns from data and use them to make informed predictions.
  • Computer vision – Explore the principles of computer vision to analyze and interpret visual data in applications like autonomous vehicles and facial recognition.
  • Big data frameworks – Gain expertise in big data tools like Hadoop, Spark, and MapReduce for managing and analyzing massive datasets.
  • Ethics & responsible AI – Study the ethical implications of AI, focusing on issues like privacy, bias, and accountability.
  • Capstone project – Apply AI and data science knowledge to a real-world project, solving a complex business or social problem through research, analysis, and AI techniques.

The B.Tech in artificial intelligence and data science program prepares students for high-demand roles across industries such as technology, finance, healthcare, retail, and manufacturing, where AI and data insights transform business landscapes. This artificial intelligence and digital systems degree program provides the technical, analytical, and ethical foundations to succeed and innovate in this rapidly growing field. 

Semester 1

  • Mathematics I (Linear Algebra and Calculus)
  • Introduction to Artificial Intelligence
  • Programming Fundamentals (Python)
  • Computer Fundamentals and Digital Logic
  • English Communication Skills
  • Basic Engineering Workshop

Semester 2

  • Mathematics II (Discrete Mathematics)
  • Data Structures and Algorithms
  • Object-Oriented Programming (Java/C++)
  • Computer Organization and Architecture
  • Environmental Science
  • Professional Ethics and Values

Semester 3

  • Mathematics III (Probability and Statistics)
  • Database Management Systems
  • Operating Systems
  • Machine Learning Basics
  • Software Engineering Fundamentals
  • Open Elective I (e.g., Psychology for AI, Economics for Engineers)

Semester 4

  • Advanced Machine Learning
  • Data Mining and Data Warehousing
  • Deep Learning Fundamentals
  • Natural Language Processing Basics
  • Elective I (e.g., IoT in AI, Reinforcement Learning)
  • Technical Communication

Semester 5

  • Artificial Neural Networks
  • Big Data Analytics
  • Computer Vision
  • Cloud Computing for AI Applications
  • Elective II (e.g., Time Series Analysis, AI in Healthcare)
  • Minor Project I

Semester 6

  • Advanced Natural Language Processing
  • Ethics in AI and Data Science
  • Data Visualization Techniques
  • Elective III (e.g., Explainable AI, Advanced Robotics)
  • Industry Internship I (6-8 weeks)
  • Project Management

Semester 7

  • Advanced Topics in Artificial Intelligence
  • Generative AI and GANs
  • Quantum Computing for AI
  • Elective IV (e.g., Cognitive Computing, AI for Smart Cities)
  • Major Project I
  • Seminar/Technical Paper Presentation

Semester 8

  • AI and Data Science in Business Applications
  • AI Model Deployment and Maintenance
  • Elective V (e.g., AI for Cybersecurity, Autonomous Systems)
  • Major Project II
  • Industry Internship II (8-12 weeks)

Want to build a successful artificial intelligence and digital systems career in India? Let’s learn about your career opportunities: 

  • Artificial Intelligence Engineer
  • Data Scientist
  • Machine Learning Engineer
  • Business Intelligence Developer
  • NLP Engineer
  • Data Analyst
  • Predictive Analytics Specialist

The B. Tech in Artificial Intelligence and Data Science is designed to equip students with a strong foundation in the principles and technologies driving the modern AI and data analytics landscape.


Graduates of B. Tech. in AI and Data Science can pursue roles such as:

  • Data Scientist
  • AI Engineer
  • Machine Learning Engineer
  • Data Analyst
  • Business Intelligence Analyst
  • Deep Learning Specialist
  • Natural Language Processing Engineer
  • Computer Vision Engineer

These roles are in demand across industries like healthcare, finance, e-commerce, manufacturing, and technology companies. Graduates can also explore research and academic opportunities in AI and data science.


Eligibility criteria typically include:

  • Successful completion of 10+2 (or equivalent) with a focus on Mathematics, Physics, and Chemistry.
  • A minimum percentage in 10+2 exams (varies by institution).
  • Qualifying in entrance exams such as JEE Main, state-level engineering exams, or institutional exams.

Some institutions may also consider extracurricular achievements in programming or science.


Specializations in the syllabus may include:

  • Natural Language Processing (NLP)
  • Computer Vision
  • Deep Learning
  • Big Data Analytics
  • Reinforcement Learning
  • Predictive Analytics
  • Robotics and Automation
  • Cloud-based AI Solutions
  • AI Ethics and Governance

These provide students with expertise in specific areas of AI and data science.


Placement support typically includes:

  • Dedicated placement cell to connect students with recruiters.
  • Resume building and interview preparation workshops.
  • Internship opportunities with industry leaders.
  • On-campus recruitment drives with top companies like and startups.
  • Alumni network access for mentorship and career advice.

Support for international placements or higher studies, depending on individual aspirations.


Core subjects include:

  • Fundamentals of Artificial Intelligence
  • Machine Learning Algorithms
  • Data Structures and Algorithms
  • Database Management Systems
  • Deep Learning
  • Data Visualization and Analytics
  • Big Data Technologies
  • Natural Language Processing
  • Mathematics for AI (Linear Algebra, Probability, and Statistics)
  • Cloud and Distributed Computing


Students will gain:

  • Proficiency in programming languages like Python, R, and Java.
  • Strong analytical and problem-solving skills.
  • Expertise in machine learning frameworks like TensorFlow, PyTorch, and Scikit-learn.
  • Knowledge of big data tools like Hadoop and Spark.
  • Skills in data visualization using tools like Tableau or Power BI.
  • Team collaboration and project management abilities.
  • Research and critical thinking skills in AI and data science applications.


The program often includes:

  • Internships with top-tier companies like Microsoft, Google, and Infosys.
  • Capstone projects based on real-world challenges.
  • Research opportunities under faculty guidance.
  • Participation in hackathons and AI challenges.
  • Exposure to industry tools and platforms like AWS, Azure, and Google Cloud AI services.
  • These experiences enhance hands-on learning and employability.


Advantages include:

  • Access to a booming job market with high demand for AI professionals.
  • Opportunities to work in cutting-edge fields like robotics, autonomous vehicles, and personalized healthcare.
  • Competitive salaries and career growth.
  • The ability to contribute to solving global challenges using AI solutions.
  • Comprehensive learning, combining technical expertise with ethical and social considerations in AI development.


Artificial Intelligence and Digital Systems is a four-year undergraduate course with core technologies.


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My experience at Seamedu has been very wonderful till now. It has been 3 years since I have joined the college and I have learnt a lot, not just academically but in all other aspects of career development. Most importantly the placement of Seamedu college is very good. I received the opportunity to get selected in one of the leading companies . Faculty members have been supportive throughout. The all-time support and motivation of the faculty members has enlightened me throughout this wonderful journey.

I am extremely grateful and honoured to have been a part of SEAM. They have consistently provided me with a plethora of opportunities that not only enhanced my skills but also enriched my core knowledge. The co-curricular activities which were actively held in SEAM created a vibrant environment that were fun, intuitive and engaging. I am grateful for the placement team in SEAM for their relentless support and encouragement which empowered us to push our boundaries and helped me to utilise my skills in the future at such a reputed organisation.

The best thing about seamedu apart from its industry standard equipment and studio is that they focus more on interactive and practical learning. Their curriculum is so well designed that it gives us a variety of career options to choose from. The institute has an amazing and highly qualified faculty, their experiences in the industry helps the students gain a lot of real world knowledge.

I am pursuing a Vfx and Animation degree here in Seamedu School of Pro-Expressionism and I am very glad that I did. All the staff members and faculty members have been so helpful throughout my journey and provided with all the help and support I can get and it goes far to say that I learned so many new things from the teachers. The placement department has been really supportive and helpful through which I was able to land an internship cum job opportunity. Overall it has been a really great journey here in Seamedu.

I studied BCA Game development here. There are experienced faculties to teach the game programming and design with a great placement support team, and companies do come for placements, like really nice companies. I really recommend this institute to pursue game development as a career.

I am pursuing BSc Sound Engineering in Seamedu & I must say that this is one of the best institution for media and entertainment industry like photography, cinematography, sound engineering, video game, development, etc. The faculties are well qualified, highly skilled and very much supportive to build a career. The Institute has industry standards equipments, laboratories, studios. The placement department of the Institute is also well supportive as they guide each and every student to pursue their passion and they provide internships to every student and placements to most of the students.

Hi I am Sarwaswa and I am pursuing my BA in Animation and VfX in Seamedu college in Pune. I am happy to say that this is one the best Institution for Animation and VfX. It was a wonderful experience with the faculties of the college. They also have a separate placement faculty for the final year Student. I would recommend those who are interested in chasing their dreams should choose Seamedu.

The teachers here are experienced and will guide you in every way possible. There are many workshops and activities that take place which are both fun and productive. The placement Team is one of the most supportive and engaging parts of the institution. They help every student in any shape or form to secure good jobs and packages.

With a reasonable fee structure, Seamedu is one of the best institutions for media and entertainment industries such as photography, cinematography, sound engineering, video game creation, journalism, and so on. The professors are highly talented, well-qualified, and supportive of professional development. The Institute features laboratories, studios, dedicated classrooms, and technology that is up to industry standards. They also connect students with industry experts through a variety of programmes where they may discuss real-world business scenarios. The institute's placement section is also incredibly helpful, encouraging every student to follow their passion and offering internships and positions to everyone who applies because seamedu has so many partners for placement.

Seamedu is one of the best institutions for the media and entertainment industry like photography, cinematography,sound engineering,video game development, journalism, etc with a decent fee structure. The faculties are well qualified, highly skilled and very much supportive to build a career. The Institute has industry standards equipments, laboratories, studios, dedicated classrooms and they also connect industry experts with students through various workshops discussing about actual parameters of industry situations. The placement department of the Institute is also well supportive as they guide each and every student to pursue their passion and they provide internships to every student and placements to most of the students as seamedu has so many placement partners.

I would recommend this college to people who are pursuing film making since they give you in depth knowledge about film making, and make you learn a lot of things and insights!

I'm a graduate of Seamedu Pune 2020 batch. I must say this college has been an integral part of my audio engineering career! This institution has industry standard infrastructure, facilities and faculties. One can expect to learn and enhance skills in any specific stream in the media and entertainment industry, be it film making, audio technology and music, photography or game development. Another plus is a great network of professionals.

Seamedu - School of Pro-Expressionism is a leading media school offering diploma & degree courses on various streams in Pune including film making, photography, visual effects, animation, game art, game design & development. I've had good experiences and learning in college.

PLACEMENTS

At Seamedu, we believe that regular interactions with distinguished industry professionals and corporate leaders from the media, management, and technology sectors play a vital role in the holistic development of our students. Our placement department organizes guest lectures, seminars, and workshops, inviting seasoned experts to share their insights and experiences. Additionally, we conduct regular training and placement activities, including soft skills development sessions, to enhance students' personal and professional growth.

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MEET THE TEAM

Prini Rastogi

Assistant Professor - Cloud Technology

Prini is a highly experienced professional in Computer Science and programming, with a strong background in teaching, research, and industry. She is dedicated to education and committed to student success, which earned her a nomination for the prestigious IPP Awards 2023. In addition to her teaching role, Prini has made significant contributions to research, with several published papers and patent grants to her name.

Anamika shukla

Assistant Professor - Cloud Technology

Anamika is a dedicated and passionate educator with a strong focus on research. In 2022, she published a paper on "Linkatalization Interconnection Network." Anamika is also certified in AWS, LINUX Administration, and CCNA, highlighting her commitment to ongoing professional development. Known for her collaborative approach, she excels as a team player and strives to foster a dynamic and engaging learning environment for her students.

Jayashree Mahale

Assistant Professor - Cloud Technology

Jayashree Mahale is a Gold Medalist in M.Tech from Sandip University, with expertise in programming languages like Python and Java, as well as tools like Docker and Tableau. She has worked on notable projects, including a food recommendation system and a comparative study on vehicle identification using visual features. Jayashree has made significant scholarly contributions, including multiple research publications and a book chapter with CRC Press. Her work reflects a deep passion for advancing knowledge and contributing to the growth of technology and research.

Ravi Khatri

Senior Faculty- Information Security

Ravi Khatri is a dedicated educator with over 18 years of teaching and research experience in Computer Science and Engineering. Currently pursuing his Ph.D., he specializes in software engineering, information security, databases, and blockchain technologies. Ravi is a skilled curriculum developer, mentor, and project guide with expertise in learning management systems and project management. His research focuses on blockchain in supply chain management and data privacy. With numerous international publications, Ravi’s commitment to academic excellence and passion for education continue to inspire students in the dynamic field of information technology.

Vaishnavi Kulkarni

Assistant Professor - AIML and Data Science

Vaishnavi Kulkarni is a skilled professional specializing in Python, Machine Learning, and Data Science. With two years of industry experience and three years in corporate training, she brings expertise in data visualization tools like Power BI and Tableau. A passionate graduate and rank holder from Swami Ramanand Teerth University, Nanded, she further excelled in her postgraduate studies, securing a rank at Vellore Institute of Technology, Chennai. Vaishnavi’s strong technical acumen and commitment to knowledge-sharing make her a valuable asset in the field of data science and analytics.

Harshada Ingale

Assistant Professor - AIML

Harshada Ingale holds a Master’s degree in Computer Applications and has 1.7 years of experience in teaching data science. Her expertise lies in Data Analytics and Big Data, with a strong command of Python and its technologies. She has a keen interest in Power BI and data-driven technologies, continually enhancing her knowledge in these areas. Passionate about teaching and research, Harshada is dedicated to helping students develop analytical skills and gain practical insights into the evolving field of data science.

Prachi Shukla

Assistant Professor - AIML

Prachi Shukla is a seasoned Computer Science faculty member with over a decade of experience in the software industry and academia. Specializing in LLM and pursuing a PhD in Generative AI, she has contributed to key Government of India projects, including work with DRDO and MHRD. She played a vital role in developing the Data Science curriculum for Liverpool John Moores University and has mentored over 20 LJMU students. Passionate about emerging technologies, Prachi is dedicated to fostering innovation and bridging academia with industry advancements.

Ranjana Singh

Senior faculty - Data Science and Analytics

Ranjana Singh is an Assistant Professor with over 12 years of teaching and industrial experience. She holds a B. Tech. in Information Technology and an M. Tech. in Computer Science from SPPU. Throughout her career, she has served in various roles, including Training and Placement Officer, NSS Program Officer, Development Manager, and Event Coordinator. Ranjana has successfully supervised numerous outreach activities and mentored ESG (Environment, Social, Governance) internships, demonstrating her commitment to both academic and extracurricular development. Her diverse experience and leadership contribute to creating a holistic learning environment for students.

Harish Nahate

Senior Faculty - Cloud Technology

Harish brings over 6 years of experience in teaching, research, and extension, with a specialized focus on Smart Climate Agriculture Technology. His extensive knowledge and commitment to the field have made a significant impact on advancing research and practical applications in climate-smart farming. Harish’s expertise and passion for innovation make him a valuable asset to the institution, as he continues to contribute towards shaping the future of sustainable agricultural practices.

Hridya Sandeep

Assistant Faculty - Communication Studies

Hridya is a data science specialist and soft skills trainer with over five years of experience. She combines technical expertise in data science with a passion for communication skills, empowering individuals to use data-driven insights while promoting personal and professional growth. Hridya’s approach blends analytical rigor with a focus on enhancing interpersonal skills, ensuring a comprehensive and well-rounded learning experience.

Amit Nichat

Assistant Faculty- Cloud Technology

Amit is a seasoned professional with 13+ years of experience in industry and academia, specializing in CAD/CAM, automation, and robotics. A passionate educator, he enhances learning through expert lectures, industry visits, and workshops. Proficient in various CAD/CAM software, Amit has also published research in renowned journals. His commitment to lifelong learning fuels his exploration of new technologies, and he invites others to connect and explore his work in the dynamic field of robotics.

Shrikrishna Balwante

Assistant Professor - Data Science

Shrikrishna has 17+ years of experience across academia, industry, and research. Certified as a Data Scientist by IBM, Microsoft, Accenture, and Oracle, he excels in the evolving data science field. Shrikrishna has contributed significantly as a Board of Studies member, UGC Teacher Selection Committee Subject Expert, and LIC member for curriculum design. His leadership in AICTE approval extensions and as Head of the Computer Science and Engineering Department highlights his key role in driving academic progress and innovation.

Indu Kumari

Assistant Faculty - AIML

Indu is a passionate professional with 2 years of academic experience in full stack development and data science. Skilled in both teaching and technical areas, she excels in simplifying complex concepts for students. Proficient in front-end and back-end technologies, Indu has developed and deployed web applications with a focus on design. Her expertise in data science includes statistical analysis, machine learning, and data visualization, enabling data-driven solutions.

Parmeswari Aland-Ambalagi

Assistant Professor - Data Science

Parmeshwari is a Mathematics expert with 10 years of collegiate teaching experience. Currently pursuing a Ph.D. in Fractional Partial Differential Equations at Lovely Professional University, she plans to submit her pre-thesis by 2025. She has developed and taught various courses at Ajeenkya DY Patil University and supervised several research projects. With 27 published papers in UGC journals, 4 in reputed journals, 1 book chapter, and 2 patents, Parmeshwari is passionate about creating an inclusive learning environment and is excited to contribute to SEAMEDU’s academic community.

Nilima Chapke

Assistant Faculty - AIML

Nilima is an Assistant Professor with 6.8 years of experience in both industry and academia, specializing in programming, data science, and big data technologies. She has authored over 10 research papers published in leading journals like IEEE, covering topics such as data science, image denoising, .NET development, and SQL database management.

Vishal Gosavi

Senior Faculty- Communication Studies

Vishal is a dedicated trainer and professor with 18+ years of experience in effective speaking, communication, voice and accent, soft skills, and personality development. He has worked in high-volume education hubs, designing and delivering impactful curricula. Vishal is now seeking a platform where he can further apply his expertise to contribute to student and institutional growth.

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info@seamedu.com +91 9767220888

Career Guide For B. Tech. CST (AI & Digital Systems)

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