Integrated Masters Program –
MCA (SSU) + Post Graduate Diploma in Data Science - PGDDS (NIPPS) + Certified Computer Programming Professional - CCPP (NIPPS)
Eligibility – Graduation
Fees per Year: Rs. 40,000/-
Total Fees: Rs. 80,000/-
Admission and Form fee: Rs. 6,000/-
Duration: 2 years
Mode: Online/Physical
Course Overview: The Integrated Masters Program is a unique and comprehensive educational offering that combines a Master's in Computer Applications (MCA) from Sikkim Skill University (SSU), a Post Graduate Diploma in Data Science (PGDDS) from the National Institute of Professional Promotion Skills (NIPPS), and the Certified Computer Programming Professional (CCPP) certification, also from NIPPS. This program is designed to equip students with advanced skills in computer science, data science, and programming, making them highly competitive in the rapidly evolving technology industry.
Eligibility Criteria:
To be eligible for admission to this integrated program, candidates should meet the following criteria:
Graduation: Candidates must have successfully completed their bachelor's degree in any relevant field. This academic foundation ensures that students have a fundamental understanding of computer science concepts before entering the program.
Program Details:
Fees per Year: The annual fee for this integrated program is Rs. 40,000/-. The program has a duration of 2 years, so the total fees for the entire program amount to Rs. 80,000/-.
Admission and Form Fee: In addition to the annual fees, there is an admission and form fee of Rs. 6,000/-. This fee covers the administrative costs associated with the application and admission process.
Duration: The program has a duration of 2 years, during which students will complete their MCA degree, PGDDS, and CCPP certification.
Mode of Study: This program offers both online and physical modes of study, providing flexibility for students to choose the mode that best suits their needs and circumstances.
Study Material: Upon enrollment in the program, students receive their study materials by post at their provided address. These materials are essential for their coursework and self-study.
Course Structure:
The Integrated Masters Program is a comprehensive blend of MCA, PGDDS, and CCPP, offering students a wide range of knowledge and skills in the fields of computer science, data science, and programming. Below, we will explore the course structure in more detail, highlighting key subjects and modules:
Year 1:
Computer Organization and Architecture: This course introduces students to the organization and architecture of computer systems, providing a foundational understanding of hardware components and their interactions.
Programming in C: Students learn the fundamentals of the C programming language, including syntax, data types, control structures, and functions.
Discrete Mathematics: This subject covers essential mathematical concepts used in computer science, such as sets, relations, functions, and logic.
Communication Skills: This module focuses on enhancing students' communication skills, both written and verbal, to prepare them for effective professional communication.
Data Structures: This course delves into the study of data structures like arrays, linked lists, stacks, queues, and trees, emphasizing their implementation and usage in problem-solving.
Database Management Systems: Students learn the fundamentals of database management, including database design, SQL programming, and transaction management.
Object-Oriented Programming Using C++: This module explores object-oriented programming principles using C++. Students learn about classes, objects, inheritance, and polymorphism.
Operating Systems: This subject covers the basic concepts and functions of operating systems, including process management, memory management, and file systems.
Computer Networks: This course introduces students to computer networks, protocols, and network architecture, providing a comprehensive understanding of modern networking technologies.
Advanced Data Structures: Building upon the knowledge gained in the previous data structures course, this module explores advanced data structures like graphs and hash tables.
Web Technologies: Students learn about web development technologies, including HTML, CSS, JavaScript, and web design principles.
Software Engineering: This subject covers software development methodologies, project management, and quality assurance processes.
Java Programming: This course focuses on Java programming, covering topics like classes, objects, exception handling, and graphical user interface (GUI) development.
Artificial Intelligence and Machine Learning: Students are introduced to the principles of artificial intelligence (AI) and machine learning (ML), including algorithms and applications.
Cyber Security: This subject explores cybersecurity concepts, including threats, vulnerabilities, and security measures to protect computer systems.
Project Work: In this semester, students undertake a project that integrates the knowledge and skills acquired throughout the program.
Year 2:
Statistical Analysis and R Programming: This module introduces students to statistical analysis and programming in R, a crucial skill in data science.
Data Visualization: Students learn techniques for visualizing data effectively using tools like Matplotlib and Seaborn.
Machine Learning: This course dives deeper into machine learning algorithms, models, and their practical applications.
Big Data Analytics: This subject covers the processing and analysis of big data using technologies like Hadoop and Spark.
Deep Learning: This module explores deep learning techniques, neural networks, and their applications in areas like image recognition and natural language processing.
Natural Language Processing (NLP): Students learn about NLP, including text processing, sentiment analysis, and language modeling.
Capstone Project: In the final semester of PGDDS, students undertake a capstone project in data science, applying their skills to a real-world problem.
Certified Computer Programming Professional (CCPP):
Programming in Python: This course focuses on advanced Python programming, covering topics like data structures, libraries, and application development.
Algorithm Design and Analysis: Students learn about algorithm design, analysis, and optimization techniques.
Software Development and Testing: This subject covers software development methodologies, testing strategies, and quality assurance processes in the context of programming.
The Integrated Masters Program – MCA (SSU) + PGDDS (NIPPS) + CCPP (NIPPS) is a comprehensive and well-structured program that equips students with a wide range of skills in computer science, data science, and programming. It covers fundamental concepts, advanced topics, and practical application through projects, ensuring that graduates are well-prepared for diverse career opportunities in the technology industry. With a flexible mode of study, online and physical options, and study materials provided, this program offers convenience and accessibility to a broad range of students.
