Bachelor's Degree
18 Months
$12000
Accredited by leading bodies
The Master of Computer Science is designed to provide students with the knowledge and skills that are necessary to excel in the rapidly growing field of computer science. This is a 18 months online program which is made specially for working professionals as it provides them the flexibility to complete a new program at their own pace and schedule. The curriculum covers the latest industry trends, and students can specialize in various areas like Data Science, Cyber Security, Full Stack Development, and Artificial Intelligence & Machine Learning. This allows them to excel in their jobs.
Expert Advice, Tailored for You- To Study In Switzerland!
The master of computer science program provides all the knowledge to the students which makes them capable enough to deal with the computational challenges at their workplace. Furthermore, the curriculum covers both theoretical and practical aspects. Practical training allows individuals to learn how to use modern tools and frameworks. With every passing year, the demand for professionals in this field is increasing. Thus, one needs to be aware of using the tools that will allow them to excel in industries like software development, cybersecurity, data science, and AI.
The curriculum is also designed for individuals who want to upgrade their skills. The classes are online, so they can be done easily without changing their schedule. Additionally, each individual will have the opportunity to specialize in specific areas. Upon completing the program, one will be able to develop robust software solutions, learn about complex network systems, and later land their dream job.
Individuals avail of various benefits when they decide to pursue Master In Computer Science.
This program is curated for working professionals; thus, the classes are offered online.
Students are able to connect with people, build connections, and expand their global network.
Learn from the best educators and understand concepts not just from books but also from their real-life experiences.
The curriculum covers both theoretical and practical concepts that prepare students for making an exceptional career.
This course offers various specializations to allow individuals to make a career in their desired field. Some of those specializations include Data Science, Cyber Security, Full-Stack Development, or AI/ML.
The master of computer science curriculum consists of core courses, electives, and specialized modules, which offer in-depth knowledge to all students. Students will develop their conceptual understanding of computer science and advanced skills, which will help them in making a career in this field.
Core Courses (45 Credits) | |
---|---|
1. Design and Analysis of Algorithms | 2. Distributed Systems |
3. Media Technologies | 4. Artificial Intelligence |
5. Network Security | 6. Data Mining |
7. Enterprise Cybersecurity | 8. Big Data Analytics |
9. Web Application Development |
Elective Courses (Select Any 3) (15 Credits) | |
---|---|
1. Foundations of Analytics and Data Visualisation | 2. Computer Graphics |
3. Biometrics | 4. Advanced Programming Techniques |
5. Software Design and Patterns | 6. Web Mining and Graph Analytics |
7. Network Forensics | 8. Advanced Database Management |
9. Special Topics in Computer Science |
Apart from the below mentioned specialized modules, you will need to submit a Major Project with proper report.
Data Science Specialization (30 Credits) |
---|
1. Foundations |
2. Data Analysis |
3. Machine Learning Techniques |
4. Data Visualization |
5. Introduction To Artificial Intelligence |
6. Hacking Wireless Networks, mobile Platforms & IoT hacking |
Cyber Security Specialization (30 Credits) |
---|
1. Fundamentals of Cyber Security, Linux & Networking |
2. Ethical Hacking, Footprint & Reconnaissance |
3. Enumeration, Vulnerability Analysis, System Hacking |
4. Malware Threats, Network Attacks, Social Engineering |
5. Denial-of-Service, Honeypots & Hacking Web Servers |
6. Cloud security & Cryptography |
Full Stack Specialization (30 Credits) |
---|
1. Introduction & Preparatory |
2. Front End Development |
3. Back End Development |
4. Mobile Application Development React Native |
5. Cloud Computing & DevOps |
Artificial Intelligence & Machine Learning (30 Credits) |
---|
1. Foundations |
2. Machine Learning |
3. Introduction to Neural Networks and Deep Learning |
4. Introduction to Sequential data |
5. Introduction to GANs & its Applications |