Master of Computer Application

2 Years Master Degree Programme

Our Approach

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

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

The course aims to make the students understand the basics of programming in C, acquire fundamental concepts of data structures and their applications, and gain knowledge of searching and sorting techniques along with their practical applications.

Course Outcomes

  • Understand the fundamental concepts and principles of data structures
  • 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 algorithms for various sorting techniques and compare their performance in terms of Space and Time complexity

Course Overview

This course aims to provide an understanding of the conceptual and technological developments in the field of the Internet and web designing, explore the historical context and evolution of the Internet, and explain the key protocols and standards that underpin its functionality.

Course Outcomes

  • Review the current topics in Web & Internet technologies
  • Describe the basic concepts for network implementation
  • Learn the basic working scheme of the Internet and World Wide Web
  • Understand fundamental tools and technologies for web design
  • Apply design best practices to create visually appealing and functional web pages

Course Overview

This course focuses on making the students understand the basics of algorithms and computational knowledge, develop computational thinking, apply algorithmic problem-solving techniques to real-world problems, and write efficient code to address computational challenges.

Course Outcomes

  • Understanding of algorithms and their significance in problem-solving across various domains
  • Understanding of computational thinking and programming
  • Implement and analyze computational thinking for different computational problems
  • Apply various algorithmic solutions to real world problems
  • Implementing problem decomposition and representation

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

  • Explain the importance of UX design in user-centered product creation and describe the responsibilities of a UX designer within a design team
  • Analyze how design decisions impact user experience across different platforms
  • Evaluate the value of design sprint retrospectives in iterative design processes
  • Analyze the appropriateness of different research methods for specific design scenarios
  • Create and test prototypes and wireframes, incorporating user feedback to improve usability and functionality

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 provide foundational knowledge of Python programming, enhance problem-solving skills through coding, and apply Python in practical applications.

Course Outcomes

  • Understand fundamental Python concepts, such as version distinctions, environment setup, and basic programming skills
  • Apply conditional execution and iteration in Python, demonstrating a grasp of fundamental control flow concepts
  • Understand and apply various types of Python functions
  • Comprehend and apply object-oriented programming principles in Python, demonstrating the ability to design and implement modular and scalable software solutions

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
  • Demonstrate proficiency in using matrix techniques to develop solutions
  • Apply mathematical machines to solve practical problems in areas such as automata theory, formal languages, and computational complexity
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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

  • Identify the components and features of the MIT App Inventor interface. Explain basic programming concepts such as variables, loops, and conditionals
  • Use MIT App Inventor to create simple dialog boxes and implement basic programming constructs
  • Develop an alarm clock application that utilizes audio and video functionalities
  • Construct a drawing application, handling files and incorporating game mechanics
  • Combine device location services and web browsing features in a single application

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 the fundamental concepts and principles of data structures
  • Understanding of advanced data structures such as balanced search trees (AVL, Red-Black trees), heaps, graphs, and hash tables
  • Develop problem-solving skills by applying advanced data structures to solve complex programming problems efficiently
  • Understand how to analyze the efficiency and performance of algorithms that utilize advanced data structures
  • Ability to apply and implement learned algorithm design techniques and data structures to solve problems

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

  • Understand core database concepts, including data, information, metadata, and components of a Database Management System
  • Understand and apply various data modelling concepts
  • Understand and apply relational database concepts, relational algebra and SQL
  • Implement various normalization techniques ensuring efficient data organization
  • Understand the concepts of deadlocks, database security and distributed database systems

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 concepts of OS, the basic principles used in the design of modern operating system and process
  • Understanding the concepts of processes, process scheduling including Throughput, Turnaround Time, Waiting Time, Response Time
  • Understand the concepts of threads and mechanisms for synchronization
  • Understand the concepts related to deadlock and memory management
  • Understand the concepts of virtual memory management, file system

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

  • Understand the basic knowledge of Research methods
  • Understand the knowledge of Research Methodology.
  • Understand the Skill of questionnaire development
  • Implement the acquired the knowledge to prepare the basic Report/dissertation.
  • Apply different statistical methods for finding the ideation of the problem

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

Course Overview

This course helps to help students understand the complementarity of values and skills for sustained happiness and prosperity, develop a holistic perspective on life and profession, and promote ethical conduct, trustful relationships, and harmonious interaction with nature.

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
  • 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
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Odd Semester

Courses for this semester

Course Overview

This course is designed to provide students with a foundational understanding of computer networking concepts, including essential taxonomy and terminology. It will introduce advanced networking principles, equipping students with the knowledge required for higher-level courses in computer networking. Additionally, the course aims to develop expertise in specialized areas of networking, such as network design and maintenance, preparing students for professional roles in the field. Through a blend of theoretical learning and practical application, students will build a strong foundation in both basic and advanced networking concepts.

Course Outcomes

  • Explain 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.
  • Explain 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

The aim of this course is to equip students with a comprehensive understanding and working knowledge of techniques essential for the estimation, design, testing, and quality management of large software development projects. The course covers a range of topics, including process models, software requirements, software design, software testing, risk management, and quality assurance, providing students with a holistic view of software project management. Additionally, the course will prepare students to navigate the unique challenges associated with initiating new ventures, offering insights into effective strategies for managing risks and ensuring quality in software development.

Course Outcomes

  • Understand various software characteristics and analyze software Development Models.
  • Understanding project planning, and Risk Management
  • To sensitize the students to the fundamentals of User Centred Design and User Experience their relevance and contribution to businesses
  • Analysis of different software testing strategies
  • Apply estimation techniques, schedule project activities, Quality Assurance and compute pricing

Course Overview

This course is designed to teach students the principles of object-oriented programming by focusing on three key areas. First, students will learn how to decompose problems into a set of objects, breaking down complex issues into manageable components. Second, the course will cover how these objects interact with each other to collaboratively solve problems, emphasizing the importance of relationships and communication between objects. Lastly, students will be taught how to create new types of objects that model elements from the problem space, enabling them to design and implement effective solutions that are closely aligned with real-world scenarios. Through these skills, students will develop a strong foundation in object-oriented programming and problem-solving.

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 is aimed at providing students with the skills to gain insights and understanding from datasets using both visual and quantitative methods. Students will learn to identify patterns, relationships, and anomalies within the data, which can guide further analysis or inform decision-making processes. Additionally, the course will focus on the extraction of meaningful information from data and the effective communication of these findings to stakeholders, ensuring that students are equipped to present data-driven insights in a clear and impactful manner. Through a combination of analytical techniques and communication strategies, students will be prepared to turn raw data into actionable knowledge.

Course Outcomes

  • Demonstrate the importance of exploratory data analysis in data analysis and decision making.
  • Develop skills in data visualization using various tools and techniques
  • Learn how to effectively communicate insights and findings from data analysis
  • Apply EDA techniques to real-world data analysis problems.
  • Enhance critical thinking skills to identify patterns, trends, and outliers in data

Course Overview

This course is designed to provide students with a comprehensive understanding of artificial intelligence (AI) and machine learning concepts, methodologies, and practical implementation skills using industry-relevant tools. Students will master essential techniques such as data preprocessing, analysis, and feature engineering, and will apply principles of model evaluation and optimization to enhance performance. Additionally, the course will foster an understanding of the ethical dimensions of AI, with a focus on addressing issues related to bias, fairness, and transparency. Students will also learn strategies for ensuring responsible AI practices that positively impact society. Through a blend of theoretical knowledge and hands-on experience, this course prepares students to navigate the complexities of AI and machine learning in real-world applications.

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.
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Even Semester

Courses for this semester

Course Overview

This course delves into the foundational and advanced aspects of algorithm analysis and design. Students will learn to analyze the asymptotic performance of algorithms and develop familiarity with major algorithms and data structures. Emphasis is placed on applying key algorithmic design paradigms such as brute-force, greedy methods, dynamic programming, divide-and-conquer, and understanding their strengths and limitations. Learners will identify appropriate algorithmic techniques for problem-solving, analyze algorithms' time and space complexities using asymptotic notation, and explore the constraints of computation, including NP-hard problems. The course also covers designing solutions to engineering problems using graph models and developing corresponding algorithms for practical implementation.

Course Outcomes

  • Describe the Brute-Force paradigm, greedy paradigm, dynamic-programming paradigm, divide-and-conquer paradigm of algorithm design.
  • Identify the most suitable algorithm design technique for a given problem.
  • Analyse the time and space complexity of algorithms using asymptotic notation.
  • Appreciate the limitations of algorithms and the concept of NP-hard problems.
  • Design a given model engineering problem using graph and write the corresponding algorithm to solve the problems.

Course Overview

This course aims to equip students with a comprehensive understanding of data mining fundamentals and techniques, fostering mastery in extracting meaningful insights from large datasets. Students will gain the skills to design and implement mathematical models tailored for effective decision-making in dynamic business environments. Additionally, the course introduces natural language processing (NLP) techniques, focusing on essential concepts such as text preprocessing, sentiment analysis, and topic modeling, enabling learners to address real-world challenges in text-based 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 explores the organizational benefits of embracing diversity, equity, and inclusion (DEI), highlighting how these principles foster innovation, collaboration, and enhanced performance. Students will examine the impact of demographic differences, implicit biases, and structural inequalities on workplace dynamics, gaining insight into the challenges and opportunities they present. Through practical applications, the course equips learners with best practices and tools to design and implement equitable and inclusive processes, fostering a culture of belonging and fairness within organizations.

Course Outcomes

  • Describe the benefits of diversity, equity, and inclusion in the workplace.
  • Identify conditions where diversity benefits teams and organizations.
  • Understand the effects of demographic differences, implicit bias, and inequalities on workplace dynamics.
  • Apply best practices for creating equitable organizational processes and norms.
  • Lead inclusive teams using conflict management, group decision-making, and emotion regulation skills. Implement DEI strategies using data and forming DEI groups.
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Common Scholarship Test

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 269 seats and any 10+2 students can apply. Adtu is northeast India’s first placement driven university to provide 100% scholarship benefits worth 30 cr.

CST aims to inspire brilliant and competent students to pursue further education. Accredited with a prestigious grade by NAAC, UGC and AICTE.

Apply Scholarship Through

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

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
  • Gym
  • ATM
  • Sports
  • Hostels
  • Transport
  • Healthcare
  • Yoga Center
  • Media Centre
  • Swimming Pool
  • Central Library
  • Canteen & Cafeterias
  • ICT Enabled Classrooms
  • Well Equipped Laboratories
  • Auditorium & Seminar Halls

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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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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I share immense pleasure to share my post graduate program experience in Assam down town University....

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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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The university has all the necessary facilities and amenities for students . The classrooms and the ...

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