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Embark on an enriching journey with our B.Tech program in Computer Science and Engineering, specializing in Data Science and Artificial Intelligence. This program seamlessly integrates industry expertise, with a strategic alliance with IBM, and a robust traditional academic scheme. Students delve into a comprehensive curriculum covering Software Foundation, Programming (with C++, Python, and Java), Cloud Fundamentals, RDBMS, Data Visualization, Predictive Analytics, Data Science, and Artificial Intelligence.
Year wise Course Details
Courses for this semester
This course provides the basic working knowledge of the production and properties of different materials used in the industry. It also explains the use of different tools, equipments, machinery and techniques of manufacturing, which ultimately facilitate shaping of these materials into various usable forms. Ingeneral, various mechanical workshops know by long training how to use workshop tools, machine tools and equipment. Trained and competent persons should be admitted to this type of mechanical works and permitted to operate equipment.
This course offers flexible, accessible learning experiences covering diverse subjects. Students engage with multimedia content, lectures, quizzes, and forums. Courses often feature self-paced learning, allowing participants worldwide to acquire knowledge and skills in various fields, facilitated by leading educators and institutions.
This course focusses on enhancing personal and professional skills to foster holistic growth. Topics include communication skills, emotional intelligence, time management, and leadership development. Through workshops, exercises, and mentorship, participants cultivate self-awareness, confidence, and interpersonal skills essential for success in academic, professional, and personal spheres.
This course is designed to provide students with a foundational understanding of linear algebra and univariate calculus, two essential areas of mathematics with wide applications in science, engineering and computer science.
Engineering Physics is an interdisciplinary course that combines principles of physics with engineering applications. It provides students with a deep understanding of the fundamental concepts in physics while emphasizing their relevance to solving engineering problems. This course covers key areas such as mechanics, electromagnetism, thermodynamics, and modern physics, offering practical insights into how these principles are applied in various engineering fields like electronics, materials science, and mechanical engineering.
This course provides an introduction to the fundamental principles of electrical and electronics engineering. It covers essential concepts such as circuit theory, electrical machines, semiconductor devices, and basic electronics. The course is designed to build a foundation for understanding the functioning, design, and analysis of electrical circuits and electronic devices used in engineering applications.
MOOCS course
It is to develop the social and soft skills and to promote a holistic development of the learners.
Software Foundation with C++ provides a foundational understanding of programming principles using the C++ language. The course covers basic to intermediate concepts, including data types, control structures, functions, classes, and object-oriented programming (OOP) principles. Through practical exercises and projects, students will gain hands-on experience in software development, debugging, and problem-solving using C++.
Courses for this semester
Engineering Chemistry is a foundational course designed to equip students with the fundamental principles of chemistry and their applications in engineering disciplines. The course provides a comprehensive overview of chemical concepts relevant to engineering, with a focus on understanding the behavior of materials, chemical reactions, and their implications in engineering processes and technologies. The course begins with an exploration of atomic structure, chemical bonding, and periodic trends, laying the groundwork for understanding the properties of elements and compounds. Students will examine the structure-property relationships of materials, including metals, polymers, ceramics, and composites, and learn how their chemical composition influences their mechanical, electrical, and thermal properties.
Basic Electrical and Electronics Engineering is an introductory course designed to provide students with a solid foundation in the principles and applications of electrical and electronics engineering. The course covers essential concepts, theories, and practical skills necessary for understanding and working with electrical circuits, devices, and systems. The course begins with an overview of fundamental electrical quantities such as voltage, current, resistance, and power, as well as basic circuit analysis techniques including Ohm's law, Kirchhoff's laws, and nodal and mesh analysis. Students will learn to analyze and solve simple DC and AC circuit problems, gaining proficiency in circuit simplification and analysis methods.
This course offers designing and developing applications involving Object Oriented Programming concepts such as inheritance, association, aggregation, composition, polymorphism, abstract classes and interfaces using Java. It also covers designing and building multi-threaded Java Applications etc.
This course will lead students through the fundamental concept of Data science using python where Students will be introduced to the Data science visualization data, feature selection, machine learning algorithms.
This course offers students with a comprehensive overview of fundamental ecological principles, environmental chemistry, biodiversity conservation, and the impacts of human activities on the environment. Through a blend of theoretical knowledge and practical applications, students delve into the complexities of pollution, resource management, and sustainable development. The course emphasizes the interconnectedness of ecological systems, aiming to cultivate an understanding of the delicate balance required for environmental harmony. By studying environmental chemistry, biodiversity, and pollution, students develop the skills needed to critically analyze and propose solutions to contemporary environmental challenges.
This course focusses on enhancing personal and professional skills to foster holistic growth. Topics include communication skills, emotional intelligence, time management, and leadership development. Through workshops, exercises, and mentorship, participants cultivate self-awareness, confidence, and interpersonal skills essential for success in academic, professional, and personal spheres.
This course offers hands-on experience with essential networking concepts and technologies. Students configure and troubleshoot networks, practice with routers, switches, and network protocols. Emphasis on practical skills development, including network setup, security measures, and troubleshooting techniques, preparing students for entry-level positions in networking roles.
This course is designed to make high-quality learning resources accessible to the students. They continue to evolve, incorporating innovative technologies and pedagogical approaches to enhance the learning experience. MOOCs provide certification options for those who successfully complete the course requirements.
Courses for this semester
This course serves as an essential foundation in the study of calculus and its application in solving ordinary differential equations (ODEs). Through a comprehensive exploration of both theory and practical problem-solving techniques, students will develop a deep understanding of the principles underlying differentiation and the solution methods for various types of ODEs. The Differential Calculus segment of the course will begin by revisiting the fundamental concepts of limits, continuity, and derivatives. Students will delve into the rules of differentiation, including the power rule, product rule, quotient rule, and chain rule. Emphasis will be placed on understanding the geometric interpretation of derivatives and their applications in various fields such as physics, engineering, and economics.
The course aims to provide students with a basic foundation in Python programming and problem-solving skills. Students will learn to write efficient, structured, and modular code to solve a few basic real-world computational problems.
Data Structures are the main part of many computer science algorithms as they enable the programmers to handle the data in an efficient way. It plays a vital role in enhancing the performance of a software or a program as the main function of the software is to store and retrieve the user's data as fast as possible.
This course offers designing and developing applications involving Object Oriented Programming concepts such as inheritance, association, aggregation, composition, polymorphism, abstract classes and interfaces using Java. It also covers designing and building multi-threaded Java Applications etc
The course begins with an introduction to the IBM Cloud platform which covers topics such as data center locations and configuring identity and access management. You will discover the various Infrastructure-as-a-Service (IaaS) options available on IBM Cloud. Next, you will learn about the deployment options on IBM Cloud; this includes topics such as Containers, Kubernetes, and OpenShift. You will also become familiar with IBM Cloud services such as Databases, Artificial Intelligence and Watson, Blockchain, Internet of Things, and many others. In addition to videos, you will also see demos of various IBM Cloud features and services in action, as well as perform hands-on labs to gain practical experience with IBM Cloud at no charge.
Probability and Statistics is a foundational course designed to equip students with essential skills in analyzing data, making predictions, and understanding uncertainty in various real-world scenarios. This course blends theoretical concepts with practical applications to provide students with a comprehensive understanding of probability theory and statistical methods.
This course is designed to make high-quality learning resources accessible to the students. They continue to evolve, incorporating innovative technologies and pedagogical approaches to enhance the learning experience. MOOCs provide certification options for those who successfully complete the course requirements.
Courses for this semester
Graph Theory, in discrete mathematics, is the study of the graph. A graph is determined as a mathematical structure that represents a particular function by connecting a set of points. It is used to create a pairwise relationship between objects.
A database management system (DBMS) course teaches the core principles and techniques for designing and implementing database systems.
An operating systems course introduces students to the techniques used to implement operating systems and related systems software.
Software engineering courses teach students how to design, develop, test, and maintain software applications using engineering principles and programming languages.
Design thinking is a project-based learning model that uses a creative, systematic approach to problem-solving. Design thinking courses teach students how to use design thinking principles to solve problems in a creative and innovative way.
A biology for engineers course aims to teach students basic concepts and techniques in probability and statistics in relation to engineering applications.
Artificial intelligence (AI) courses cover topics such as machine learning, deep learning, natural language processing, computer vision, robotics, and data analytics. They also teach students how to build intelligent systems that mimic human behavior using theories, standards, methods, and innovations from various domains.
THIS COURSE WILL EQUIP STUDENTS WITH SKILLS TO COLLECT, CLEAN, AND ANALYZE DATA FROM DIVERSE SOURCES, WHILE MASTERING TECHNIQUES TO VISUALLY REPRESENT INSIGHTS AND TRENDS, ENABLING INFORMED DECISION-MAKING IN VARIOUS DOMAINS.
This course to provide students with the latest Internet technologies knowledge and abilities to design and implement client and server side web programs using modern development environments.
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This course focusses on enhancing personal and professional skills to foster holistic growth. Topics include communication skills, emotional intelligence, time management, and leadership development. Through workshops, exercises, and mentorship, participants cultivate self-awareness, confidence, and interpersonal skills essential for success in academic, professional, and personal spheres.
This course focusses on enhancing personal and professional skills to foster holistic growth. Topics include communication skills, emotional intelligence, time management, and leadership development. Through workshops, exercises, and mentorship, participants cultivate self-awareness, confidence, and interpersonal skills essential for success in academic, professional, and personal spheres.
Courses for this semester
This course covers the computing devices and the communication protocols. It is the study of how computers can be linked to share data and information
This course is to familiarize the students with the basic concept of data and to work with various kinds of data and statistical data. It aims to presents a perfect blend of machine learning, big data analytics, and statistics, the programme helps you gain experience in solving problems with real-world data
This course offers a comprehensive exploration of the dynamics that shape individual behavior, group dynamics, and organizational effectiveness within various contexts. Through a blend of theory, research, and practical applications, you'll gain valuable insights into understanding human behavior in organizations and developing strategies for effective leadership, teamwork, and organizational change.
This course provides a comprehensive introduction to the principles, theories, and practices of management in modern organizations. Whether you're a budding entrepreneur, aspiring manager, or seasoned professional looking to enhance your leadership skills, this course will equip you with the knowledge and tools needed to succeed in today's dynamic business environment.
This course provides a comprehensive introduction to neural networks, a fundamental concept in artificial intelligence and machine learning. Neural networks have become increasingly popular due to their ability to learn complex patterns and relationships from data. This course covers the theoretical foundations of neural networks as well as practical applications across various domains.
The main objective of this course is to present the scientific support in the field of information search and retrieval. This course explores the fundamental relationship between information retrieval, hypermedia architectures, and semantic models, thus deploying and testing several important retrieval models such as vector space, Boolean and query expansion. It discusses implementation and evaluation issues of new algorithms like clustering, pattern searching, and stemming with advanced data/file structures, indirectly facilitating a platform to implement comprehensive catalogue of information search tools while designing an e-commerce web site
This course gives an overview of Big Data, i.e. storage, retrieval and processing of big data. In addition, it also focuses on the “technologies”, i.e., the tools/algorithms that are available for storage, processing of Big Data. It also helps a student to perform a variety of “analytics” on different data sets and to arrive at positive conclusions.
This course is to introduce basic concepts and applications of soft computing tools such as neural networks, fuzzy logic systems, and several optimization techniques like genetic algorithms, evolutionary computation, simulated annealing etc. Also it covers soft computing based solutions for real-world problems.
This course provides a comprehensive introduction to the principles, algorithms, and applications of machine learning. Students will learn both the theoretical foundations and practical skills necessary to apply machine learning techniques to real-world problems across various domains.
This course provides an in-depth exploration of the principles, methodologies, and applications of expert systems. Students will learn how to design, develop, and evaluate expert systems using knowledge representation techniques, inference mechanisms, and real-world case studies
This course covers the basic concepts of recommender systems, including personalization algorithms, evaluation tools, and user experiences. This course will discuss how recommender systems and user models are deployed in e-commerce sites, social networks, and many other online systems, with readings from current and past research in the field.
This course covers data analysis, machine learning, artificial intelligence, and statistical models. The course emphasizes the practical aspects of analyzing the predictive performance of the algorithms.
Introduction to Cyber Security is a foundational course aimed at familiarizing individuals with the fundamental concepts, principles, and practices of safeguarding digital assets and information systems from cyber threats. In this course, participants typically learn about various aspects of cybersecurity
Platforms and Systems Security is a course designed to provide students with a deep understanding of security principles, techniques, and best practices for securing various computing platforms and systems. The course covers security aspects related to operating systems, networks, virtualization, cloud platforms, and mobile devices. Students will learn about common vulnerabilities, attack vectors, defense mechanisms, and strategies for mitigating security risks in modern computing environments.
Social Network Security is a specialized course focusing on the security challenges, threats, and countermeasures associated with online social networks (OSNs) and social media platforms. The course explores various aspects of security and privacy in social networking environments, including authentication, access control, data privacy, trust management, and threat mitigation strategies. Students will learn about the unique vulnerabilities and risks inherent in social networks and develop skills to protect users, data, and systems from security breaches and attacks.
This course is designed to make high-quality learning resources accessible to the students. They continue to evolve, incorporating innovative technologies and pedagogical approaches to enhance the learning experience. MOOCs provide certification options for those who successfully complete the course requirements.
This course is designed to make high-quality learning resources accessible to the students. They continue to evolve, incorporating innovative technologies and pedagogical approaches to enhance the learning experience. MOOCs provide certification options for those who successfully complete the course requirements.
This course is designed to make high-quality learning resources accessible to the students. They continue to evolve, incorporating innovative technologies and pedagogical approaches to enhance the learning experience. MOOCs provide certification options for those who successfully complete the course requirements.
This course presents how to install, maintain, and upgrade networking systems
This course focusses on enhancing personal and professional skills to foster holistic growth. Topics include communication skills, emotional intelligence, time management, and leadership development. Through workshops, exercises, and mentorship, participants cultivate self-awareness, confidence, and interpersonal skills essential for success in academic, professional, and personal spheres.
It is to develop the social and soft skills and to promote a holistic development of the learners.
This course aims to attract students interested in advancing their skills in cloud computing with AWS and obtaining a globally recognized certification.
Courses for this semester
Web technologies course cover the basics of building and maintaining websites, including HTML, CSS, and JavaScript. They help students gain the skills needed to create engaging web experiences and pursue a career in web development.
This course presents several basic ideas in automata theory and formal languages, such as grammar, finite automaton, regular expression, formal language, pushdown automaton, and Turing machine. This course not only contains the fundamental models of computation but also the building blocks of numerous subfields of computer science, such as concurrent systems, software engineering, compilers, etc.
By the end of the course, participants will have a comprehensive understanding of how economic principles intersect with engineering disciplines, enabling them to make strategic decisions that balance technical innovation with economic efficiency and societal welfare.
By the end of the course, students will have developed a well-rounded skill set encompassing employability skills, entrepreneurial acumen, and knowledge of intellectual property rights. They will be better prepared to pursue career opportunities in various sectors, whether as employees contributing to organizational success or as entrepreneurs driving innovation and creating value through their ventures while understanding the importance of protecting their intellectual assets
The course integrates theoretical foundations with hands-on projects, allowing students to apply deep learning techniques to analyze social network data effectively. By the end of the course, participants will be equipped with the skills to tackle diverse challenges, such as identifying fake news, predicting user behavior, and understanding information diffusion in social networks.
This interdisciplinary approach empowers students to leverage the power of deep learning for social network analysis, driving innovation in fields like marketing, cybersecurity, and sociological research
Throughout the course, practical projects and case studies provide students with opportunities to apply R programming techniques to solve real-world problems in data science and knowledge engineering domains.
By the end of the course, students will have gained a comprehensive understanding of knowledge engineering methodologies, empowering them to excel in diverse roles such as data analysts, data scientists, and AI engineers.
This course covers cryptographic protocols and security mechanisms to protect communication and data transmission in dynamic wireless environments, addressing challenges like authentication, confidentiality, and integrity, crucial for ensuring secure and reliable communication in ad hoc networks.
This course teaches students to investigate digital devices for evidence retrieval, analyzing data integrity and recovering information, crucial for solving cybercrimes and ensuring legal compliance in digital investigations.
The course will to enable students to build intelligent systems that anticipate user needs and deliver personalized, immersive experiences. Projects and hands-on exercises allow students to apply predictive models to real-world datasets.
By the end of the course, students will possess the skills to leverage predictive analytics and immersive technologies to drive innovation and create impactful solutions in diverse domains, from business intelligence to entertainment and beyond.Students will be able to understand AR/VR applications that leverage predictive insights.
This course will equip students with skills to collect, clean, and analyze data from diverse sources, while mastering techniques to visually represent insights and trends, enabling informed decision-making in various domains.
This course provides students with the tools and techniques to analyze data, extract actionable insights, and make informed decisions to drive organizational success and competitive advantage in today's dynamic business environment.
This course educates students on strategies and technologies to securely manage digital identities, control access to resources, and enforce policies, safeguarding sensitive information and mitigating security risks in organizational environments.
By the end of the course students will learn to design, develop, and deploy software applications with robust security features, incorporating techniques such as secure coding, threat modeling, and vulnerability assessment to mitigate risks and protect against cyber threats in modern computing environments.
This course teaches students how to leverage computational methods to understand and manipulate human language, enabling the development of applications such as language translation, sentiment analysis, and chatbots for diverse real-world applications.
This course educates students on techniques to analyze and interpret audio and visual data, enabling the development of applications such as speech recognition, emotion detection, object detection, and video surveillance in various fields including entertainment, security, and healthcare.
After completing the course students will be able to analyze temporal data patterns and develop predictive models to forecast future trends, enabling informed decision-making in fields such as finance, economics, and resource planning.
This course will instruct students in the theory and application of algorithms to extract information from visual data, enabling the development of systems for tasks like image recognition, object detection, and autonomous navigation in diverse domains such as healthcare, robotics, and security.
This course introduces students to the fundamentals of decentralized systems and cryptographic principles, enabling them to understand, develop, and implement secure and transparent distributed ledgers for various applications such as cryptocurrency, supply chain management, and digital identity.
This course equips students with advanced techniques in encryption, digital signatures, and secure communication protocols, enabling them to design and implement robust security solutions for protecting sensitive data and ensuring confidentiality, integrity, and authenticity in digital systems.
This course presents how to handle different types of data, analyze statistics, and use tools and techniques to manage business data.
This course presents how to install, maintain, and upgrade networking systems
This course focusses on enhancing personal and professional skills to foster holistic growth. Topics include communication skills, emotional intelligence, time management, and leadership development. Through workshops, exercises, and mentorship, participants cultivate self-awareness, confidence, and interpersonal skills essential for success in academic, professional, and personal spheres.
This course is designed to make high-quality learning resources accessible to the students. They continue to evolve, incorporating innovative technologies and pedagogical approaches to enhance the learning experience. MOOCs provide certification options for those who successfully complete the course requirements.
Courses for this semester
The "Artificial Intelligence" course equips students with a deep understanding of AI principles, techniques, and applications. Through lectures, labs, and projects, students explore topics such as intelligent agents, machine learning, natural language processing, and computer vision. Emphasis is placed on ethical considerations and societal implications, preparing students to design and deploy AI solutions responsibly. By course end, students are adept in applying AI algorithms, critically evaluating their impact, and contributing ethically to technological advancement.
This course provides students with a foundational understanding of statistical concepts and techniques essential for data analysis and decision-making in various fields. Covering topics such as descriptive statistics, probability distributions, hypothesis testing, and regression analysis, this course emphasizes practical applications through hands-on exercises and real-world examples. Students learn to interpret data, conduct statistical tests, and make informed decisions based on statistical findings. Emphasizing critical thinking and analytical skills, the course equips students with the tools necessary to analyze and draw meaningful conclusions from data sets encountered in academic, professional, and everyday contexts.
This course provides students with the necessary skills and methodologies to conduct comprehensive and critical reviews of existing literature within their respective academic disciplines. Through this course, students learn to identify relevant sources, evaluate their credibility and relevance, and synthesize key findings to provide a coherent overview of existing knowledge and research gaps. Emphasizing the importance of scholarly inquiry and academic writing, students develop proficiency in literature search strategies, citation management, and synthesizing information from diverse sources.
Design and Analysis of Algorithms is a course that explores the theory and practice of designing and analyzing algorithms for solving problems. It covers topics such as algorithms for sorting and searching, graph algorithms, and algorithmic techniques for designing efficient solutions to problems. It also covers the application of algorithmic techniques to problems in various disciplines, including computer science, engineering, operations research, and mathematics. The course emphasizes the practical aspects of designing and analyzing algorithms, as well as the theoretical aspects
This course is to introduce the basic theory underlying the different components and phases of a compiler like parsing, code generation etc. Simultaneously, the students will be familiarized with the various tools that are used for building modern compilers.
Design and Analysis of Algorithms is a course that explores the theory and practice of designing and analyzing algorithms for solving problems. It covers topics such as algorithms for sorting and searching, graph algorithms, and algorithmic techniques for designing efficient solutions to problems. It also covers the application of algorithmic techniques to problems in various disciplines, including computer science, engineering, operations research, and mathematics. The course emphasizes the practical aspects of designing and analyzing algorithms, as well as the theoretical aspects
This course is to introduce the basic theory underlying the different components and phases of a compiler like parsing, code generation etc. Simultaneously, the students will be familiarized with the various tools that are used for building modern compilers.
Courses for this semester
This course offers an in-depth exploration of cryptographic principles and their application in securing computer networks and communication systems. Through lectures, practical exercises, and case studies, students gain a comprehensive understanding of cryptographic algorithms, protocols, and techniques used to ensure confidentiality, integrity, and authentication of data in networked environments. Topics covered include symmetric and asymmetric encryption, cryptographic hash functions, digital signatures, key management, and secure communication protocols. Emphasizing both theoretical concepts and practical implementations, the course equips students with the knowledge and skills necessary to design, implement, and manage secure networked systems, addressing contemporary challenges and emerging threats in cybersecurity.
Digital image processing deals with processing of images which are digital in nature. Study of the subject is motivated by three major applications. The first application is in improvement of pictorial information for human perception i.e. enhancing the quality of the image so that the image will have a better look. The second is for autonomous machine applications which have wider applications in industries, particularly for quality control in assembly automation and many similar applications. This course will introduce various image processing techniques, algorithms and their applications.
This course provides a comprehensive overview of key topics in technology, including programming, data analysis, cybersecurity, and emerging technologies, in just 30 hours. Learners gain practical skills and theoretical knowledge essential for success in the tech industry, with a flexible schedule and accessible online platform for convenient learning.
This course provides a fast track to a globally recognized certification in collaboration with Coursera and Amazon Web Services (AWS). Participants gain expertise in cloud computing and AWS services, preparing them for the AWS Certified Solutions Architect – Associate exam and advancing their careers in the cloud industry
This course provides a fast track to a globally recognized certification in collaboration with Coursera and Amazon Web Services (AWS). Participants gain expertise in cloud computing and AWS services, preparing them for the AWS Certified Solutions Architect – Associate exam and advancing their careers in the cloud industry
This course provides a fast track to a globally recognized certification in collaboration with Coursera and Amazon Web Services (AWS). Participants gain expertise in cloud computing and AWS services, preparing them for the AWS Certified Solutions Architect – Associate exam and advancing their careers in the cloud industry
CST- Common scholarship test is a national and international level online MCQ based examination funded for intellectual empowerment by Assam down town University.
CST- Maximum enrolment each year is 120 seats and any 10+2 students can apply. Adtu is northeast India’s first placement driven university to provide 100% scholarship benefits worth 10 cr.
CST aims to inspire brilliant and competent students to pursue further education. Accredited with a prestigious grade by NAAC, UGC and AICTE.
Explore more scholarships that can help you reach out your goal with financial aid.
This scholarship is valid on the basis of the board/university examination
| 95% & above | 100% Scholarship on all semester |
| 90%-94.9% | 50% Scholarship on all semester |
| 80%-89.9% | 25% Scholarship on all semester |
This scholarship is valid on the basis of the board/university exam
| National & International Level | 100% Scholarship on all semester |
| State Level | 50% Scholarship on all semester |
| District Level | 25% Scholarship on all semester |
This scholarship is valid on the basis of the board/university exam
| National & International Level | 100% Scholarship on all semester |
| State Level | 50% Scholarship on all semester |
| District Level & NCC Certificate Holder | 25% Scholarship on all semester |
Discover a multitude of world-class amenities and cutting-edge resources at Assam down town University, enhancing your academic journey to new heights.
The Start-Up & Incubation Centre at Assam down town University provides a supportive environment for young entrepreneurs to develop and grow their business ideas. The center provides mentorship, funding, and networking opportunities to help innovative ideas become successful businesses.
SFURTI scheme to support rural entrepreneurs and innovators, an initiative by the Ministry of MSME
TIDE 2.0 scheme for ICT-based startups which provides a grant of Rs. 4L and Rs. 7L under EiR and Grant categories respectively, an initiative by the Ministry of MeitY.
dtVL Ideation, an incubation program for early-stage entrepreneurs with a market-ready solution/product, offering interest-free loans up to Rs. 2 lakhs.
Sprout UP, an incubation program for students, faculties, and researchers with innovative business ideas, prototypes, or technology solutions.
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