The Bachelor of Technology in Information Technology (Mobile Application and Information Security (B.Tech-IT -MAIS) is a four-year undergraduate program that equips students with the knowledge and skills to develop secure mobile applications. The program covers various topics, including mobile application development, programming languages, information security, and cryptography. Students also gain hands-on experience with mobile application development tools and technologies.
Duration: Four Years | Full Time
Eligibility: Applicants should have passed 10+2 or equivalent examinations with Physics, Mathematics, and English as compulsory subjects along with Computer or Chemistry, Biotechnology or Biology, or any technical vocational subjects as optional with a minimum of 50% marks (45% in case of reserved categories) taken together in Physics, Mathematics and any one of the optional subjects
We are imparting comprehensive knowledge in computer networks, mobile architecture, app development, and server and database management system configuration.
We deliver comprehensive knowledge on information security, principles of virtualization, forensic investigation, and cloud web services.
We are developing the ability to articulate and solve problems in Computer Science and Engineering, especially in Mobile Applications and Information Security.
Helping students implement the best practices of Cybersecurity and risk management in various Cybersecurity-related scenarios
Mathematics and Statistics
Fundamentals of mathematics and statistics, including linear algebra, calculus, and probability theory, form the foundation for data science algorithms.
Programming Languages
Proficiency in programming languages commonly used in data science, such as Python or R, for data manipulation, analysis, and visualization.
Data Analysis and Visualization
Techniques for exploring and visualizing data sets to communicate insights effectively.
Machine Learning
Introduction to machine learning algorithms for classification, regression, clustering, and recommendation systems.
Database Systems
Knowledge of database systems and SQL for adequate data storage, retrieval, and management.
Data Cleaning and Preprocessing
Techniques for cleaning and preprocessing raw data to ensure quality and reliability in analyses.
Data Ethics and Privacy
Understanding the ethical considerations and privacy concerns related to handling and analyzing data.
Capstone Projects
Engaging in hands-on projects where you apply your skills to solve real-world problems, often in collaboration with industry partners.
1. Ajeenkya Genius Scholarship
2. ADYP Group Progression
3. Pune Pride Scholarship
4. ADYPU Divyang Excellence Scholarship
5. Khelo India Sports Delight Scholarship
6. My India Pride Scholarship
7. ADYPU Resilience Scholarship
8. ADYPU/ADYPG Employee Family Kids
9. Beti Padhao Scholarship
10. ADYPU Sibling Scholarship
11. ADYPU Entrance Talent Hunt Scholarship
Classroom Lectures
Traditional classroom lectures provide theoretical foundations in mathematics, statistics, programming languages, and core data science concepts.
Practical Labs and Workshops
Hands-on practical sessions and workshops where you apply concepts learned in lectures. This could involve coding exercises, data analysis projects, and using relevant tools and technologies.
Projects
Individual and group projects to apply data science techniques to real-world problems. These projects help develop practical skills and provide experience working with large datasets.
Case Studies
Analyzing real-world case studies allows students to understand how data science methods are applied in different industries and scenarios.
Programming Assignments
Assignments and coding exercises to strengthen programming skills in languages like Python or R, which are commonly used in data science.
Machine Learning Applications
Practical application of machine learning algorithms through projects and exercises involving classification, regression, clustering, and recommendation systems.
Mobile Application Security Specialist
Information Systems Security Professional
Software Lifecycle Professional
Ethical Hacker
Mobile Security
Mobile Application Security Tester
Cloud Solutions Architect
Information Security Analyst
Penetration Tester (Ethical Hacker)
Cybersecurity Consultant
Network Security Engineer
Cloud Security Specialist
Security Software Developer
Compliance Analyst
IT Risk Analyst
Security Researcher