B. Tech. CST (AI & Digital Systems) In Pune

Why choose B.Tech in artificial intelligence and digital systems?  
In today’s data-driven world, artificial intelligence (AI) and digital systems are at the forefront of technological advancements, revolutionizing industries and reshaping the global economy. The B.Tech in artificial intelligence and digital systems program is designed to empower students with cutting-edge knowledge and practical skills to drive decision-making and automation using AI and data analytics. From healthcare and finance to retail and entertainment, the demand for AI and data science professionals continues to surge as organizations rely on insights derived from data for strategic growth.  
The undergraduate course B. Tech in artificial intelligence (AI) and digital systems covers the theoretical foundations and practical applications of AI, data science, and related fields. This course combines core principles of computer science, AI algorithms, and big data analytics, equipping students to design intelligent systems that analyze vast data sets, predict trends, and automate processes. Graduates of artificial intelligence and digital systems program will emerge as skilled professionals, ready to take on roles in AI development, machine learning engineering, data science, and business intelligence.  

Who should enroll in the B.Tech in artificial intelligence and digital systems? 
This B.Tech in AI and digital systems program is ideal for:

  • Students passionate about AI, machine learning, and data science. 
  • Individuals interested in creating smart AI solutions using data-driven technologies.
  • Aspiring professionals eager to develop predictive artificial intelligence models, automate tasks, and solve complex problems. 
  • Those with a strong interest in artificial intelligence, mathematics, programming,  and analytical thinking.

If you’re ready to explore the evolving fields of AI and data science and want to make a real-world impact with data-driven innovations, a B.Tech artificial intelligence and digital systems course will provide the foundation for success.

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)

INDIAN STUDENTS

  • Register yourself for B. Tech. CST (AI & Digital Systems) by clicking here on our Online Application Platform.
  • Fill in all information correctly and accurately as required in the Online Application Platform.
  • Upload the scanned copy of the following documents :
    • Original 10th Mark sheet
    • Original 12th or Equivalent Mark sheet
    • 1 photo Id proof
    • 1 Address proof
    • 1 passport sized photograph
  • Make a payment of Rs. 500 (non-refundable) against STAC (Seamedu Technical Assessment and Counseling) After completing the above steps, you will receive a confirmation of your application being submitted using your registered email ID.

Within 15 days of application of admission, you will be intimated on your selection (if selected) B. Tech. CST (AI & Digital Systems) by email on your registered email id. On receipt of the email, please complete the following:

  • Please sign in to the Seamedu Online Application Platform using your registered username and password.
  • Please respond to any additional queries that arise.
  • Make payment as described by the counselor.
  • On receipt of the same, Provisional Admission letter will be issued for the course.

Submit the filled-in Final Admission form and copies of the following documents.

  • Two photo copies of 10th Mark sheet
  • Two photo copies of 12th or Equivalent Mark sheet
  • Two photo copies of photo Id proof
  • Two photocopies of Address proof
  • Six passport sized photographs with red background

Note: Please carry the Original documents for Verification. You’ll get all your original documents back.

INTERNATIONAL STUDENTS

  • Register yourself for B. Tech. CST (AI & Digital Systems) by clicking here on our Online Application Platform.
  • Fill in all information correctly and accurately as required in the Online Application Platform.
  • Upload the scanned copy of the following documents :
    • Valid Passport
    • Marks transcripts of
      • High school
      • Bachelor’s Degree (if applicable)
      • Previous VISA to India if any
  • Make a payment of $50 (non-refundable) against STAC (Seamedu Technical Assessment and Counseling) After completing the above steps, you will receive a confirmation of your application being submitted using your registered email ID.

Within 15 days of your application, you will be intimated about your selection (if selected) B. Tech. CST (AI & Digital Systems) by email on your registered email ID. On receipt of the email, please complete the following process :

  • Please sign in to the Seamedu Online Application Platform using your registered username and password.
  • Complete the set of steps as prompted
  • Make a payment of $160 as processing and eligibility fees and $350 as admission confirmation fee [We adjust the admission confirmation fee against the total fees.] *Both fee amounts are non-refundable

On receipt of the Provisional Admission Letter, please complete the following process :

  • Have all Marks Transcripts attested by the Ministry of Higher Education in your country
  • Apply for visa at the nearest Indian mission or Indian Embassy in your country (You must take an endorsed Student Visa)
  • Email us a copy of the attested transcripts and the visa issued

On arrival in India, you must report to the International Students’ Cell to take admission in person

Fill in and submit the Final Admission Form along with copies of the following documents :

  • Endorsed Student Visa
  • Medical Fitness Report / Yellow Fever Vaccination Card
  • C-Form and House Agreement
  • 4 Photographs
  • Complete Payment of Fee / Receipts

  • All foreign students must take the English Language Proficiency Test. Clearance of this test is a must for firm admission.
  • You need to report to the FRO for registration. Students must register within 14 days of arrival in India or they may have to pay late fees.

Eligibility: 12th / High School / Equivalent

Campus: Pune

Course Duration: 4 Years

Why choose B.Tech in artificial intelligence and digital systems?  
In today’s data-driven world, artificial intelligence (AI) and digital systems are at the forefront of technological advancements, revolutionizing industries and reshaping the global economy. The B.Tech in artificial intelligence and digital systems program is designed to empower students with cutting-edge knowledge and practical skills to drive decision-making and automation using AI and data analytics. From healthcare and finance to retail and entertainment, the demand for AI and data science professionals continues to surge as organizations rely on insights derived from data for strategic growth.  
The undergraduate course B. Tech in artificial intelligence (AI) and digital systems covers the theoretical foundations and practical applications of AI, data science, and related fields. This course combines core principles of computer science, AI algorithms, and big data analytics, equipping students to design intelligent systems that analyze vast data sets, predict trends, and automate processes. Graduates of artificial intelligence and digital systems program will emerge as skilled professionals, ready to take on roles in AI development, machine learning engineering, data science, and business intelligence.  

Who should enroll in the B.Tech in artificial intelligence and digital systems? 
This B.Tech in AI and digital systems program is ideal for:

  • Students passionate about AI, machine learning, and data science. 
  • Individuals interested in creating smart AI solutions using data-driven technologies.
  • Aspiring professionals eager to develop predictive artificial intelligence models, automate tasks, and solve complex problems. 
  • Those with a strong interest in artificial intelligence, mathematics, programming,  and analytical thinking.

If you’re ready to explore the evolving fields of AI and data science and want to make a real-world impact with data-driven innovations, a B.Tech artificial intelligence and digital systems course will provide the foundation for success.

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)

INDIAN STUDENTS

  • Register yourself by clicking here on our Online Application Platform.
  • Fill in all information correctly and accurately as required in the Online Application Platform.
  • Upload the scanned copy of the following documents :
    • Original 10th Mark sheet
    • Original 12th or Equivalent Mark sheet
    • 1 photo Id proof
    • 1 Address proof
    • 1 passport sized photograph
  • Make a payment of Rs. 500 (non-refundable) against STAC (Seamedu Technical Assessment and Counseling) After completing the above steps, you will receive a confirmation of your application being submitted using your registered email ID.

Within 15 days of application of admission, you will be intimated on your selection (if selected) by email on your registered email id. On receipt of the email, please complete the following:

  • Please sign in to the Seamedu Online Application Platform using your registered username and password.
  • Please respond to any additional queries that arise.
  • Make payment as described by the counselor.
  • On receipt of the same, Provisional Admission letter will be issued for the course.

Submit the filled-in Final Admission form and copies of the following documents.

  • Two photo copies of 10th Mark sheet
  • Two photo copies of 12th or Equivalent Mark sheet
  • Two photo copies of photo Id proof
  • Two photocopies of Address proof
  • Six passport sized photographs with red background

Note: Please carry the Original documents for Verification. You’ll get all your original documents back.

INTERNATIONAL STUDENTS

It is shown by default, until the Please shortlist the course that you would like to pursue. You may also mail us your queries to intl.student@seamedu.com.

  • Register yourself by clicking here on our Online Application Platform.
  • Fill in all information correctly and accurately as required in the Online Application Platform
  • Upload the scanned copy of the following documents :
    • Valid Passport
    • Marks transcripts of
      • High school
      • Bachelor’s Degree (if applicable)
      • Previous VISA to India if any
  • Make a payment of $50 (non-refundable) against STAC (Seamedu Technical Assessment and Counseling) After completing the above steps, you will receive a confirmation of your application being submitted using your registered email ID.

Within 15 days of your application, you will be intimated about your selection (if selected) by email on your registered email ID. On receipt of the email, please complete the following process :

  • Please sign in to the Seamedu Online Application Platform using your registered username and password.
  • Complete the set of steps as prompted
  • Make a payment of $160 as processing and eligibility fees and $350 as admission confirmation fee [We adjust the admission confirmation fee against the total fees.] *Both fee amounts are non-refundable

On receipt of the Provisional Admission Letter, please complete the following process :

  • Have all Marks Transcripts attested by the Ministry of Higher Education in your country
  • Apply for visa at the nearest Indian mission or Indian Embassy in your country (You must take an endorsed Student Visa)
  • Email us a copy of the attested transcripts and the visa issued

  • On arrival in India, you must report to the International Students’ Cell to take admission in person
  • Fill in and submit the Final Admission Form along with copies of the following documents :
    • Endorsed Student Visa
    • Medical Fitness Report / Yellow Fever Vaccination Card
    • C-Form and House Agreement
    • 4 Photographs
    • Complete Payment of Fee / Receipts

  • All foreign students must take the English Language Proficiency Test. Clearance of this test is a must for firm admission.
  • You need to report to the FRO for registration. Students must register within 14 days of arrival in India or they may have to pay late fees.

Eligibility: 12th / High School / Equivalent

Campus: Pune

Course Duration: 4 Years

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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.

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.

KNOW MORE

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.

TALK TO OUR
CAREER COUNSELLOR
info@seamedu.com 020 46607500

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