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MCA(Master of Computer Application)

2 Years Master Degree Programme

Our Apporach

Global Education, Global Acceptance

  • State-of-the-art teaching, friendly mentoring, and knowledge creation.
  • Systematic workshops armed with pioneering technology.
  • Motivation to innovation and entrepreneurship for providing sustainable solutions to societal needs.

Industry-Academia Collaboration

AWS Educator
Oracle
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IBM
Zoho
Coursera
tcs
edutech

Specialization

Programme Specialization

  • Artificial Intelligence and Deep Learning

Programme Details

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2 Years Programme

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Upto 100% Scholarship

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100% Placement Assistance

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Eligibility
45% in 10+2, BC

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The Master of Computer Application (MCA) programme has been established with the goal of producing highly skilled information system professionals in the rapidly growing field of Computer Science and its applications. The programme enables students to acquire extensive knowledge of computer languages and IT applications through both theoretical and practical training. The curriculum has been created in accordance with the All India Council for Technical Education (AICTE) guidelines and is tailored to meet the demand for well-prepared computer science professionals in the expanding IT industry. The curriculum comprises essential courses as well as a range of elective options to ensure comprehensive exposure to the field. The syllabus also includes hands-on subjects and challenging projects.

  • To excel in specialized careers and higher education by acquiring knowledge in mathematical, computing, and engineering principles.
  • To analyze real-life challenges and design computing solutions that are precisely comprehensive and economically feasible.
  • To exhibit competence, communication skills, and ethical attitude in the profession and adapt to emerging trends.

  • Computational knowledge: Apply the knowledge of computing fundamentals, computing specialization, and mathematics to solve real-world problems.
  • Problem analysis: Identify, formulate, review literature, and analyze to solve complex problems using knowledge of mathematics and computer science.
  • Design/Development of Solutions: Design and evaluate solutions for complex computing problems, and design and evaluate systems, components, or processes that meet with the needs of appropriate public health and safety, cultural, societal, and environmental scenarios.
  • Conduct Investigations of Complex Computing Problems: Use research-based knowledge and methods to design experiments, analyze and interpret data, and perform information synthesis to provide valid conclusions.
  • Modern tool usage: Create, select, adapt, and apply appropriate techniques, resources, and modern tools for solving complex computing problems, along with an understanding of their limitations.
  • Individual and team work: Function effectively as an individual, and as a member or leader in teams, and in multidisciplinary settings.
  • Professional Ethics: Commit to professional ethics, responsibilities, and norms of computing practices.
  • Environment and sustainability: Understand and demonstrate the impact of professional solutions in societal and environmental contexts and the need for sustainable development.
  • Communication Efficacy: Communicate effectively on complex technical activities with the computing community, and with society at large.
  • Innovation and Entrepreneurship: Using innovation to identify opportunities and to create value and wealth for the betterment of the individual and society as a whole.
  • Project Management and Finance: Demonstrate knowledge and understanding of software engineering and project management principles and apply these to one's work, as a member and leader in a team, to manage projects and in multidisciplinary environments.
  • Life-long Learning: Recognize the need for and have the preparation and ability to engage in independent and life-long learning for continual development as a computing professional.

  • Apply computing practices with mathematics and industrial concepts for solving real-time industrial problems.
  • Develop the aptitude to carry out research, experiment, current issues, etc. to solve industrial problems.
  • Analyze, design, develop, test, and maintain software applications with the latest computing tools and technologies.

Curriculum Details

Year wise Course Details

Odd Semester

Courses for this semester

Course Overview

1. To understand the basic programming language in C 2. To acquire the basic concepts of Data Structures and their applications. 3. To acquire knowledge on Searching and Sorting and their applications.

Course Outcomes

  • Use and implement appropriate data structure for the required problems using a programming language such as C.
  • Implement various data structures viz. Stacks, Queues, Linked Lists, Trees and Graphs.
  • Understand various searching & sorting techniques.
  • Apply an algorithm to write Selection Sort, Bubble Sort, Insertion Sort, Quick Sort, Merge Sort, Heap Sort and compare their performance in term of Space and Time complexity.

Course Overview

The purpose of this course is to provide a thorough understanding of the Internet, its applications and the TCP/IP protocols that are extensively used to offer Internet connectivity, with an emphasis on conceptual and technological breakthroughs in these fields. Due to its enormous utility, the World Wide Web has emerged as a crucial component of the Internet. Consequently, this course also emphasises on the fundamental ideas of website design.

Course Outcomes

  • 1. Review the current topics in Web & Internet technologies.
  • 2. Describe the basic concepts for network implementation.
  • 3. Learn the basic working scheme of the Internet and World Wide Web.
  • 4. Understand fundamental tools and technologies for web design.
  • 1. To provide the conceptual and technological developments in the field of Internet and web designing
  • 2. Understand the historical context and development of the Internet.
  • 3. Explain the key protocols and standards that underpin the Internet.

Course Overview

This course focuses on the fundamental of algorithm, data structures, and problem-solving techniques. Students will learn how to design, analyze, and implement algorithms to solve a variety of computational problems.

Course Outcomes

  • To understand the principles of algorithm design and analysis.
  • To implement and analyze common data structures.
  • To apply algorithmic problem-solving techniques to real world problems.
  • To write efficient code for solving computational challenges.

Course Overview

Foundations of User Experience (UX) Design is the first of a series of seven courses that will equip you with the skills needed to apply to entry-level jobs in user experience design. UX designers focus on the interactions that people have with products like websites, mobile apps, and physical objects. UX designers make those everyday interactions usable, enjoyable, and accessible. The role of an entry-level UX designer might include empathizing with users, defining their pain points, coming up with ideas for design solutions, creating wireframes, prototypes, and mockups, and testing designs to get feedback. Current UX designers and researchers at Google will serve as your instructors, and you will complete hands-on activities that simulate real-world UX design scenarios.

Course Outcomes

  • Understanding user experience design.
  • Think and design a user experience for the user.
  • Identifying the areas for improvement as an user experience designer
  • The role of research in the design process to help better understand and empathize with users.

Course Overview

The purpose of this course is to develop analytical skill among the students and enhance their proficiency in the English language use. It introduces the students to various types of Non Verbal Communication. Students will learn to draft compelling resumes and create and deliver effective presentations.

Course Outcomes

  • 1. Explore various forms of Non-Verbal Communication.
  • 2. Understand the application of visual aids in presentations.
  • 3. Delve into the three core aspects of Time Management: Planning, Prioritizing, and Performing.
  • 4. Gain a deeper understanding of English pronunciation and foundational concepts in phonetics.

Course Overview

The primary objective of this course is to offer an introductory level understanding of programming principles and the Python language. Students will be familiarized with core concepts such as data structures, conditionals, loops, variables, and functions.

Course Outcomes

  • Understand the basic terminology used in computer programming to write, compile and debug programs in Python programming language.
  • Examine Python syntax and semantics and be fluent in the use of various Operators of Python.
  • Make use of flow control statements and Input / Output functions of Python.
  • Demonstrate proficiency in handling different Data Structures, Strings and File Systems.

Course Overview

In this course, the students will learn to create more dynamic and interactive websites using JavaScript. Advanced HTML, CSS and basic JavaScript enhance the client-side web pages and students will learn to use these technologies for their specific purpose.

Course Outcomes

  • Understand the fundamentals of web application development, including client-side and server-side technologies.
  • Create web pages using HTML, Cascading Style Sheets, JavaScript and XML.
  • Develop dynamic web applications using server-side programming languages and frameworks such as PHP, Python.
  • Implement data storage and retrieval in web applications using databases like MySQL.
  • Understanding the basics of Internet.

Course Overview

This is a foundation course that provides students with the mathematical knowledge and skills necessary to succeed in the MCA program. The course covers a wide range of topics, including algebra, logic, discrete mathematics, linear equations and matrices.

Course Outcomes

  • • Understand and use the principles of mathematical reasoning to solve real-world problems.
  • • Interpret the results of mathematical computations and make contributions to their field.
  • • Use appropriate mathematics skills and techniques in the analysis of data
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Even Semester

Courses for this semester

Course Overview

This Specialization course is designed for people who are new to software engineering. It's also for those who have already developed software, but wish to gain a deeper understanding of the underlying context and theory of software development practices.

Course Outcomes

  • Critically analyse software engineering development processes from our four selected development philosophies (traditional, secure, agile, and lean)
  • Describe the trade-offs among the philosophies with respect to environmental, organizational, and product constraints
  • Discuss the workings of exemplary processes within each of the given philosophies
  • Perform activities within each of the four aforementioned philosophies and explain how they satisfy the principles of the given philosophy

Course Overview

The course will give students hands-on experience in developing interesting Android applications. No previous experience in programming is needed, and the course is suitable for students with any level of computing experience. MIT App Inventor will be used in the course. It is a blocks-based programming tool that allows everyone, even novices, to start programming and build fully functional apps for Android devices. Students are encouraged to use their own Android devices for hands-on testing and exploitation.

Course Outcomes

  • Explain the fundamentals of mobile app development and the role of Android in the mobile ecosystem
  • Configure and set up App Inventor for Android app development
  • Create visually appealing user interfaces using various layouts, styles, fonts, colors, and images.
  • Use variables and lists for efficient data storage and retrieval in App Inventor.

Course Overview

This course introduces to a variety of algorithms, approaches to algorithm design, and how they are effectively applied to solve problems in computer science. This course provides material that is more advanced and, in more depth, than an undergraduate data structures course, with a focus on algorithms and analysis. Topics include analysis and design of dynamic programs, greedy algorithms, numerical issues, randomization and NP-Completeness.

Course Outcomes

  • Understand and apply linear data structures-List, Stack and Queue and non linear data structure-Tree
  • Understand the graph algorithms and different algorithms analysis techniques
  • Apply data structures and algorithms in real time applications
  • Analyze the efficiency of algorithms

Course Overview

Database management system is intended to provide a clear understanding of fundamentals with emphasis on their applications to create and manage large data sets. It emphasizes on technical overview of database software to retrieve data from database. This includes database design principles, normalization, and concurrent transaction processing, security, recovery and file organization techniques. This will provide adequate knowledge to understand future evolutions of data technologies.

Course Outcomes

  • Explain and evaluate the fundamental theories for advanced database architectures and query operators.
  • Assess and apply database functions of distributed database.
  • Evaluate different database designs and architectures.

Course Overview

This course examines the important problems in operating system design and implementation. The operating system provides an established, convenient, and efficient interface between user programs and the bare hardware of the computer on which they run.

Course Outcomes

  • Understand the basic concepts of Operating Systems and related concepts.
  • Apply the OS concepts to create processes and threads, process scheduling including Throughput, Turnaround Time, Waiting Time, Response Time.
  • Analyzing the concept for optimally allocating memory to processes by increasing memory utilization and improving the access time.

Course Overview

The course is designed to provide students with a comprehensive understanding of the R programming language and its applications in data analysis and statistical computing. Throughout the course, students will learn the fundamentals of R programming, data manipulation and analysis, data visualization, and statistical modeling. By the end of the course, students will have a strong foundation in R programming, enabling them to confidently handle data manipulation, analysis, and visualization tasks. They will be equipped with the skills necessary to apply statistical techniques using R and effectively communicate their findings through visualizations and reports.

Course Outcomes

  • Understand R language and R studio
  • Analyze the use of basic functions of R Package
  • Create reports using R markdown
  • Implement statistical modeling using R
  • Demonstrate exploratory data analysis (EDA) for a given data set

Course Overview

This course deals with fundamentals of computer, which includes generations of computer, evolution and development of microprocessor, input and output devices, primary and secondary storage devices, programming languages etc. It also includes concepts on Computer Networks, Security and Office Automation Software.

Course Outcomes

  • Students will understand the working of a computer and its various components.
  • Students will understand the use of Software and programming in a computer system.
  • Students will understand basic concepts of Computer Networks and System Security issues and the role of various Software packages for Office Automation.

Course Overview

The purpose of the course is to teach principles of digital design. The material covers a variety of topics including numbers system, Boolean algebra, basic gates, logic circuits, flip-flops, registers, arithmetic circuits, counters, interfacing, computer memory and Parallel Processing.

Course Outcomes

  • Understanding building blocks and number system of Computer system and design.
  • Understanding Register Organization of digital design.
  • Implementation of logic families and logic gates.

Course Overview

In this course, the students learn the process of self-exploration, the difference between the Self and the Body, the naturally acceptable feelings in relationships in a family, the comprehensive human goal in the society, the mutual fulfillment in the nature and the coexistence in existence. As a natural outcome of such inputs, they are able to evaluate an ethical life and profession ahead.

Course Outcomes

  • Understand the significance of value inputs in a classroom, distinguish between values and skills, understand the need, basic guidelines, content and process of value education, explore the meaning of happiness and prosperity and do a correct appraisal of the current scenario in the society
  • Distinguish between the Self and the Body, understand the meaning of Harmony in the Self the Co-existence of Self and Body.
  • Understand the value of harmonious relationship based on trust, respect and other naturally acceptable feelings in human-human relationships and explore their role in ensuring a harmonious society
  • Understand the harmony in nature and existence, and work out their mutually fulfilling participation in the nature.
  • Distinguish between ethical and unethical practices, and start working out the strategy to actualize a harmonious environment wherever they work.

Course Overview

This course deals with fundamentals of data science with python and SQL specialization. Build the Foundation for your Data Science career. Develop hands-on experience with Jupyter, Python, SQL. Perform Statistical Analysis on real data sets.

Course Outcomes

  • Learn in-demand skills from university and industry experts
  • Master a subject or tool with hands-on projects
  • Develop a deep understanding of key concepts
  • Earn a career certificate from IBM

Course Overview

This course offers an overview of research methodology including basic concepts employed in quantitative and qualitative research methods. Includes computer applications for research.

Course Outcomes

  • Students will have basic knowledge of Research methods.
  • Students will gain the knowledge of Research Methodology.
  • Students will be able to gain the Skill questionnaire development.
  • Students will be able to acquire the knowledge of basic Report/dissertation Procedure.
  • Students will have basic knowledge of Research methods.
  • Students will gain the knowledge of Research Methodology.
  • Students will be able to gain the Skill questionnaire development.
  • Students will be able to acquire the knowledge of basic Report/dissertation Procedure.

Course Overview

The students will have the opportunity to create, design and configure a web app using the Django framework in-line with best practices. Explore the usage of models in Django and their relationship to databases. Use views to render requested data to meaningful template structures for a composed user interface (UI). Implement proactive security practices and mitigate common security risks.

Course Outcomes

  • Design a Django web application using Python, HTML and CSS
  • Describe and implement the HTTP request response cycle by creating views, routes and templates
  • Describe and build a data model to create database tables and dynamic web forms
  • Explore the Django Template Language to create dynamic webpages that display data stored in a database
  • Create, share and test your web application by using industry standard best practice and guidelines
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Odd Semester

Courses for this semester

Course Overview

An introduction to the design and analysis of computer communication networks. Topics include application layer protocols, Internet protocols, network interfaces, local and wide area networks, wireless networks, bridging and routing, and current topics.

Course Outcomes

  • Understand basic concepts, OSI reference model, services and role of each layer of OSI model and TCP/IP. Apply channel allocation, framing, error and flow control techniques.
  • Describe the functions of Network Layer. Explain the different Transport Layer function i.e. Port addressing, Connection Management, Error control and Flow control mechanism.
  • Explain the functions offered by session and presentation layer and their Implementation.
  • Discuss the different protocols used at application layer i.e. HTTP, SNMP, SMTP, FTP, TELNET and VPN.
  • Understand design issues in Network Security and to understand security threats, security services and mechanisms to counter.

Course Overview

This course offers detailed concepts, designing and implementation of different software development models. It includes Project management concepts, Risk management concepts, Quality Assurance, Software testing and debugging strategies.

Course Outcomes

  • Understand software engineering principles involved in building large software programs and process of requirements specification and requirements validation.
  • Understand the concepts of object orientation and development of class models.
  • To sensitize the students to the fundamentals of User Centered Design and User Experience their relevance and contribution to businesses
  • Analyze system models for designing patterns.
  • Apply estimation techniques, schedule project activities and compute pricing.

Course Overview

A computer programming paradigm called object-oriented paradigm, or OOP, arranges the design of software around data, or objects, as opposed to functions and logic. In this course Object-oriented Paradigm concepts including inheritance, association, aggregation, composition, polymorphism, abstract classes, and interfaces are taught along with how to design and construct programs using them.

Course Outcomes

  • Understanding fundamental principles of OO programming, OO analysis, design and development.
  • Apply inheritance and polymorphism concepts of OOPs on computing problem.
  • Design applications for a range of problems using file and exception handling.
  • Implementation of object oriented based projects.
  • Demonstrate the use of various OOPs concepts with the help of programs

Course Overview

This course will provide an introduction to the principles and techniques of exploratory data analysis. Students will learn how to use visual and quantitative methods to explore datasets, identify patterns and relationships, and detect anomalies. The course will cover topics such as data cleaning and preparation, graphical methods for data exploration, summary statistics and descriptive analysis, and basic statistical inference. Students will also learn how to communicate their findings effectively through data visualization and reporting. By the end of the course, students will have a solid understanding of the EDA process and be able to apply these techniques to real-world datasets.

Course Outcomes

  • Understand key statistical methods and programming syntax crucial for EDA.
  • Analyze statistical measures and comprehend the role of data visualization in effective communication.
  • Apply statistical methods and programming skills to analyze and manipulate datasets in EDA.
  • Evaluate data visualizations for patterns and outliers, and assess the relevance of statistical methods in specific contexts.
  • Develop strategies for data visualization and integrate statistical analysis with programming for comprehensive data-driven solutions.

Course Overview

This course delivers a comprehensive introduction to the principles and real-world applications of artificial intelligence (AI) and machine learning (ML). The students will gain hands-on experience with data preprocessing, feature engineering, and model building using industry-standard tools. The course covers different ML algorithms and their implementation. Additionally, the students will delve into the ethical considerations of AI, learning about bias, fairness, and transparency to help you implement AI solutions responsibly. By the end of this course, students will have the skills to develop effective AI and ML models that address real-world problems while considering their broader societal impact.

Course Outcomes

  • Gain a comprehensive grasp of foundational AI and machine learning concepts, encompassing algorithms and methodologies.
  • Develop proficient hands-on skills in implementing AI and machine learning models, utilizing industry-relevant programming languages and frameworks
  • Acquire expertise in preprocessing and analyzing data, mastering techniques for feature selection and engineering to enhance model performance
  • Demonstrate a sound understanding of model evaluation principles and optimization techniques, ensuring the ability to enhance model efficiency and effectiveness
  • Explore the ethical dimensions of AI, examining issues related to bias, fairness, and transparency, and develop strategies for addressing societal implications responsibly.

Course Overview

This course provides students with a comprehensive understanding of predictive analytics and data mining techniques. Students will learn to critically apply concepts and methods to extract meaningful insights from data, solve real-world problems, and improve decision-making processes.

Course Outcomes

  • Gain a comprehensive understanding of predictive analytics and data mining techniques
  • Develop skills to critically apply various concepts and methods to extract meaningful insights from large datasets
  • Learn to solve real-world problems using data-driven approaches
  • Enhance decision-making processes through the application of predictive analytics
  • Cultivate the ability to effectively communicate analytical findings and insights to a variety of audiences

Course Overview

This course provides students with a comprehensive understanding of predictive analytics and data mining techniques. Students will learn to critically apply concepts and methods to extract meaningful insights from data, solve real-world problems, and improve decision-making processes.

Course Outcomes

  • Develop a comprehensive understanding of predictive analytics and data mining techniques.
  • Learn to critically apply various analytical concepts and methods to extract insights from data.
  • Apply data-driven solutions to address and solve real-world problems.
  • Enhance decision-making capabilities using insights derived from data analytics.
  • Improve skills in interpreting and communicating analytical results to support organizational strategies.
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Even Semester

Courses for this semester

Course Overview

This course delves into the fundamental concepts and techniques used to design and analyze algorithms, which are the step-by-step instructions that computers follow to solve problems. It provides a crucial basis for anyone desiring to work in the field of information technology and computer science.

Course Outcomes

  • Analyze worst-case running time based on asymptotic analysis and justify the correctness of algorithm for a given problem.
  • Describe the greedy paradigm, dynamic-programming paradigm and divide-and-conquer paradigm.
  • Design a given model engineering problem using graph and write the corresponding algorithm to solve the problems.
  • Understand NP completeness and identify different NP complete problems.
  • Discuss various advanced topics on algorithms.

Course Overview

This course covers the data mining process, techniques, and tools, empowering students to solve real-world problems. They'll learn to design mathematical models for decision-making using business intelligence and apply Natural Language Processing for data analysis.

Course Outcomes

  • Develop an understanding of the data mining process and issues.
  • Understand various techniques for data mining
  • Apply the techniques in solving data mining problems using data mining tools and systems
  • Design mathematical model for decision making using business intelligence
  • Analyse and apply Natural Language Processing

Course Overview

This course provides a comprehensive overview of AI for students equipped with fundamental knowledge in areas like machine learning and deep learning. It offers practical applications in deep learning, natural language processing (NLP), and computer vision, leveraging industry-leading tools such as IBM Watson services. Through hands-on experience, participants develop proficiency in implementing AI techniques to solve real-world problems effectively. Emphasizing critical thinking, the curriculum navigates ethical considerations inherent in AI technology, fostering responsible innovation. This holistic approach equips students to navigate and excel in today's rapidly evolving AI landscape while ensuring ethical integrity and societal impact.

Course Outcomes

  • Demonstrate understanding of advanced AI concepts, including machine learning and deep learning, by applying them in real-world scenarios.
  • Utilize industry-standard tools like IBM Watson to implement practical solutions in natural language processing and computer vision.
  • Develop hands-on expertise in designing and deploying AI models that address specific problems across various domains.
  • Critically evaluate the ethical implications of AI technologies and incorporate responsible practices into AI solutions.
  • Prepare for advanced studies or careers in AI by mastering the skills necessary to innovate and lead in a technology-driven environment.
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Scholarship

Apply Scholarship through CST

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.

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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

A 50% scholarship on total semester fees is provided to all specially abled students.

A 100% scholarship on the last semester fee is provided to all the alumni of Assam down town University.

A 100% scholarship on total semester fee for Economically Backward Classes

Campus Life

Our Facilities

World Class Facilities

Discover a multitude of world-class amenities and cutting-edge resources at Assam down town University, enhancing your academic journey to new heights.

Some of our Facilities
  • Library
  • Swimming Pool
  • Play Ground
  • Amphitheatre
  • Basketball Court
  • Cinema Hall
  • Cafeteria
  • Canteen
  • Indoor stadium
  • Yoga Studio
  • Gym
  • ATM

Start-Up &
Incubation Centre

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.

Rural Empowerment with SFURTI scheme

SFURTI scheme to support rural entrepreneurs and innovators, an initiative by the Ministry of MSME

TIDE 2.0 scheme for ICT-based startups

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 interest-free loans up to Rs. 2 lakhs.

dtVL Ideation, an incubation program for early-stage entrepreneurs with a market-ready solution/product, offering interest-free loans up to Rs. 2 lakhs.

Innovation with Sprout UP program

Sprout UP, an incubation program for students, faculties, and researchers with innovative business ideas, prototypes, or technology solutions.

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"I am a BBA student of 3rd semester. I hail from Bhutan. I vow that I am having a great experience i...

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Let us be grateful to the people and place who makes us happy. They are the charming gardeners whom ...

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Currently I am pursuing MBA in Assam Down Town University. MBA is the professional course through wh...

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AdtU is a university that focuses on giving knowledge, education and simultaneously making the stude...

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The Assam downtown University has been a great learning experience. The university has provided me w...

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My experience with AdtU has been splendid one indeed. Little needs to said about its scenic infrastr...

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As a student I am very glad that I have got an opportunity to study here in Assam downtown universi...

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My name is Sakhyajit Roy. I?m from Tripura. I joined the university on Auguest, 2017 as a student of...

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AdtU is a platform where I got golden opportunities to feed my zeal for knowledge through the dynami...

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I am fortunate to get an opportunity to study here in Assam Downtown University. The best thing abou...

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Our university is one of the best place for developing ourselves in the field of research and acedem...

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ADTU is a university that is very good interms of infrastructure, academics and placements. Our tea...

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It is one of best private colleges in North East India, it also provides a good environment for ed...

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ADTU is a good University which provides the students with best quality lectures and ensures comfort...

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The environment of Assam downtown university is very pleasant.The department of BMLT is very good a...

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