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M-SC in Information Technology at VELS Institute of Science, Technology & Advanced Studies (VISTAS)
Chennai, Tamil Nadu
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About the Specialization
What is Information Technology at VELS Institute of Science, Technology & Advanced Studies (VISTAS) Chennai?
This Information Technology program at Vels Institute of Science Technology and Advanced Studies (VISTAS) focuses on equipping students with advanced skills in emerging IT domains. It addresses the growing demand in the Indian industry for professionals adept in cloud computing, big data, machine learning, and cybersecurity, positioning graduates for high-impact roles.
Who Should Apply?
This program is ideal for Bachelor of Science (Computer Science/IT/Software Engineering/BCA) graduates seeking entry into advanced IT roles. It also suits working professionals aiming to upskill in cutting-edge technologies or career changers transitioning into the rapidly evolving information technology sector, requiring a strong foundation in computational concepts.
Why Choose This Course?
Graduates of this program can expect to pursue lucrative careers in India as Cloud Architects, Data Scientists, Machine Learning Engineers, or Cybersecurity Analysts. Entry-level salaries typically range from INR 4-7 lakhs per annum, with significant growth trajectories in major Indian tech hubs. The curriculum also prepares students for relevant professional certifications.
Student Success Practices
Foundation Stage
Master Programming Fundamentals- (Semester 1-2)
Dedicate consistent time to practice core programming concepts in Java and data structures. Utilize online platforms for coding challenges and algorithm implementation.
Tools & Resources
HackerRank, LeetCode, GeeksforGeeks, NPTEL courses on Data Structures
Career Connection
Strong coding skills are fundamental for technical interviews and developing efficient software solutions in any IT role, crucial for placements.
Engage in Peer Learning and Discussion- (Semester 1-2)
Form study groups to discuss complex topics like advanced Java, network security, and cloud computing. Collaborative problem-solving enhances understanding and exposes different perspectives.
Tools & Resources
Microsoft Teams, Google Meet, Departmental common areas for group studies
Career Connection
Fosters teamwork and communication skills, essential for collaborative project environments in the Indian IT industry.
Build a Strong Conceptual Base in Emerging Tech- (Semester 1-2)
Beyond classroom lectures, explore supplementary resources for cloud computing, big data, and machine learning. Focus on understanding the ''''why'''' behind the technologies, not just the ''''how''''.
Tools & Resources
Coursera, Udemy, AWS/Azure free tier services, academic journals
Career Connection
Provides the intellectual depth required to innovate and adapt to rapid technological shifts in the Indian IT landscape, setting a foundation for advanced roles.
Intermediate Stage
Undertake Mini-Projects and Portfolio Building- (Semester 3)
Apply theoretical knowledge from Machine Learning, IoT, and Blockchain to develop small-scale projects. Document these projects thoroughly to create a strong technical portfolio.
Tools & Resources
GitHub, Kaggle datasets, open-source libraries (TensorFlow, PyTorch), Raspberry Pi/Arduino kits
Career Connection
Demonstrates practical application skills to potential employers and provides tangible evidence of expertise for internships and placements in India.
Seek Industry Internships and Workshops- (Semester 3)
Actively look for internship opportunities during semester breaks to gain real-world industry exposure. Participate in workshops and hackathons organized by companies or technical clubs.
Tools & Resources
Internshala, LinkedIn, college placement cell, industry meetups
Career Connection
Invaluable for networking, understanding corporate culture, and potentially converting internships into full-time job offers in Indian IT firms.
Specialize through Electives and Certifications- (Semester 3)
Choose electives strategically based on career interests (e.g., Deep Learning, Blockchain, AR/VR) and pursue relevant professional certifications to validate specialized skills.
Tools & Resources
Official certification paths (e.g., AWS Certified Cloud Practitioner, Microsoft Azure AI Engineer), online learning platforms
Career Connection
Enhances marketability and opens doors to niche roles, giving a competitive edge in India''''s dynamic job market.
Advanced Stage
Focus on Capstone Project Excellence- (Semester 4)
Dedicate substantial effort to the final year project (Project Phase II), ensuring it addresses a real-world problem, demonstrates advanced skills, and has a strong technical foundation.
Tools & Resources
Faculty mentors, research papers, specialized software, project management tools
Career Connection
A strong capstone project is a significant talking point in interviews, showcasing problem-solving abilities and specialized knowledge for Indian companies.
Intensive Placement Preparation and Mock Interviews- (Semester 4)
Begin intensive preparation for placements, including aptitude tests, technical rounds, and HR interviews. Participate in mock interview sessions and group discussions organized by the college.
Tools & Resources
Placement cell resources, online aptitude platforms (e.g., Indiabix), interview preparation guides
Career Connection
Increases confidence and readiness for the rigorous placement processes prevalent in top Indian IT companies, leading to successful job offers.
Network Actively and Explore Career Paths- (Semester 4)
Attend industry conferences, webinars, and alumni events to network with professionals. Explore diverse career paths within IT, understanding roles like product management, technical consulting, or entrepreneurship.
Tools & Resources
LinkedIn, industry associations (e.g., NASSCOM), alumni networks
Career Connection
Builds valuable professional connections that can lead to referrals, mentorship, and insights into growth opportunities within the Indian IT sector.
Program Structure and Curriculum
Eligibility:
- B.Sc. in Computer Science/ Information Technology/ Software Engineering / Computer Technology / B.C.A. / B.E.S. / B.Tech (IT/CSE) with minimum of 50% marks in part III or related subjects
Duration: 2 years (4 semesters)
Credits: 90 Credits
Assessment: Internal: 40%, External: 60%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 21MTC001 | Advanced Data Structures and Algorithms | Core | 4 | Analysis of Algorithms, Arrays and Lists, Stacks and Queues, Trees and Graphs, Sorting and Searching, Hashing |
| 21MTC002 | Advanced Java Programming | Core | 4 | OOP Concepts in Java, Interfaces and Packages, Collections, Generics, JDBC, Servlets and JSP, Java Networking |
| 21MTC003 | Network Security | Core | 4 | Classical Cryptography, Symmetric Key Cryptography, Asymmetric Key Cryptography, Hash Functions, Network Security Applications, Firewalls and IDS |
| 21MTE001 | Mobile Computing | Elective | 4 | Mobile Communication Systems, Wireless Technologies, Mobile IP, Transport Layer Issues, Mobile Operating Systems, Mobile Application Development |
| 21MTE002 | Soft Computing | Elective | 4 | Fuzzy Sets and Logic, Artificial Neural Networks, Genetic Algorithms, Hybrid Systems, Machine Learning Concepts, Swarm Intelligence |
| 21MTE003 | Web Services | Elective | 4 | Introduction to Web Services, XML Fundamentals, SOAP, WSDL, UDDI, RESTful Web Services |
| 21MTL001 | Advanced Java Programming Lab | Lab | 2 | Java Core Programming, GUI Applications, JDBC Connectivity, Servlet Programs, JSP Applications |
| 21MTL002 | Data Structures and Algorithms Lab | Lab | 2 | Array and Linked List Operations, Stack and Queue Implementations, Tree and Graph Traversal, Sorting Algorithms, Searching Algorithms |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 21MTC004 | Cloud Computing | Core | 4 | Cloud Computing Architecture, Virtualization, Cloud Services Models, Cloud Deployment Models, Cloud Security, Cloud Management |
| 21MTC005 | Big Data Analytics | Core | 4 | Big Data Fundamentals, Hadoop Ecosystem, MapReduce Framework, HDFS, NoSQL Databases, Data Analytics Techniques |
| 21MTC006 | Machine Learning | Core | 4 | Introduction to Machine Learning, Supervised Learning, Unsupervised Learning, Reinforcement Learning, Model Evaluation, Deep Learning Basics |
| 21MTE004 | Internet of Things | Elective | 4 | IoT Architecture, Sensors and Actuators, Communication Protocols, Data Analytics for IoT, IoT Security, Smart Applications |
| 21MTE005 | Distributed Operating Systems | Elective | 4 | Distributed System Concepts, Interprocess Communication, Distributed File Systems, Distributed Shared Memory, Fault Tolerance, Process and Thread Management |
| 21MTE006 | Digital Image Processing | Elective | 4 | Image Fundamentals, Image Enhancement, Image Restoration, Image Compression, Image Segmentation, Feature Extraction |
| 21MTL003 | Cloud Computing Lab | Lab | 2 | Cloud Setup and Configuration, Virtual Machine Management, Cloud Storage, Deployment of Cloud Services, Cloud Security Implementation |
| 21MTL004 | Big Data Analytics Lab | Lab | 2 | Hadoop Installation, HDFS Commands, MapReduce Programming, Hive Queries, Pig Scripts, Spark Programming |
| 21MTL005 | Machine Learning Lab | Lab | 2 | Data Preprocessing, Supervised Learning Algorithms, Unsupervised Learning Algorithms, Model Evaluation, Feature Engineering |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 21MTC007 | Research Methodology and IPR | Core | 4 | Research Problem Formulation, Research Design, Data Collection Methods, Statistical Analysis, Research Report Writing, Intellectual Property Rights |
| 21MTC008 | Open Source Technologies | Core | 4 | Open Source Principles, Linux System Administration, Apache Web Server, MySQL Database, PHP Programming, Python for Web Development |
| 21MTE007 | Block Chain Technology | Elective | 4 | Blockchain Fundamentals, Cryptography in Blockchain, Bitcoin and Ethereum, Smart Contracts, Consensus Mechanisms, Blockchain Applications |
| 21MTE008 | Deep Learning | Elective | 4 | Neural Networks, Perceptrons, Backpropagation, Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), Deep Learning Frameworks |
| 21MTE009 | Augmented Reality / Virtual Reality | Elective | 4 | AR/VR Fundamentals, Hardware and Software, 3D Graphics, Interaction Techniques, AR/VR Application Development, Immersion and Presence |
| 21MTP001 | Project Phase I | Project | 6 | Problem Identification, Literature Review, System Design, Methodology, Project Planning and Scheduling, Initial Implementation |
| 21MTS001 | Internship | Skill Enhancement | 2 | Industry Exposure, Practical Skill Application, Professional Networking, Report Writing, Presentation Skills |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 21MTC009 | Digital Forensics | Core | 4 | Digital Forensics Process, Evidence Acquisition, Disk Forensics, Network Forensics, Mobile Forensics, Forensic Tools |
| 21MTC010 | Agile Software Development | Core | 4 | Agile Principles, Scrum Framework, Kanban Methodology, Extreme Programming (XP), Agile Project Management, DevOps Integration |
| 21MTE010 | Ethical Hacking | Elective | 4 | Hacking Concepts, Footprinting and Reconnaissance, Scanning Networks, System Hacking, Malware Threats, Web Server and Web Application Attacks |
| 21MTE011 | Cyber Security | Elective | 4 | Cybersecurity Basics, Threat Landscape, Risk Management, Security Policies, Cryptography, Incident Response and Recovery |
| 21MTE012 | DevOps | Elective | 4 | DevOps Principles, Version Control Systems, Continuous Integration, Continuous Delivery/Deployment, Containerization, Orchestration |
| 21MTP002 | Project Phase II | Project | 10 | System Implementation, Testing and Debugging, Performance Evaluation, Documentation, Project Presentation, Viva Voce |
