Accreditation:
EQF7
MaltaSwitzerlandWisconsinCaliforniaWashington
Workload:
2250 hours | 90 ECTS
Tuition cost:
1,80,000 INR

Master of Science in Computer Science: Cloud Computing

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Kind
Degree
Area
Computer & Mathematical Science
Mode
Fully Online
Language
English
Student education requirement
Undergraduate (Bachelor’s)
Standard length
18 months
Standard delivery length
18 months
Certificates
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\ Overview

The course teaches students comprehensive and specialised subjects in computer science; it teaches students cutting edge engineering skills to solve real-world problems using computational thinking and tools, as well as soft skills in communication, collaboration, and project management that enable students to succeed in real-world business environments. Most of this program is case (or) project-based where students learn by solving real-world problems end to end. This program has core courses that focus on computational thinking and problems solving from first principles. The core courses are followed by specialization courses that teach various aspects of building real-world systems. This is followed by more advanced courses that focus on research level topics, which cover state of the art methods. The program also has a capstone project at the end, wherein students can either work on building end to end solutions to real world problems (or) work on a research topic. The program also focuses on teaching the students the “ability to learn” so that they can be lifelong learners constantly upgrading their skills. Students can choose from a spectrum of courses to specialize in a specific sub-area of Computer Science like Artificial Intelligence and Machine Learning, Cloud Computing, Software Engineering, or Data Science, etc.

375 hours | 15 ECTS

Tier 1

125 hours | 5 ECTS

Introduction to Problem-Solving Techniques: Part 1

125 hours | 5 ECTS

Introduction to Computer Programming: Part 1

125 hours | 5 ECTS

Mathematics for Computer Science

1125 hours | 45 ECTS

Tier 2

125 hours | 5 ECTS

Advanced Cloud Computing

125 hours | 5 ECTS

NoSQL Cloud Datastores

125 hours | 5 ECTS

System Design

125 hours | 5 ECTS

Design Patterns

125 hours | 5 ECTS

Backend Development

125 hours | 5 ECTS

Front-end Development

125 hours | 5 ECTS

Foundations of Cloud Computing

125 hours | 5 ECTS

Distributed Cloud Computing

125 hours | 5 ECTS

DevOps

750 hours | 30 ECTS

Tier 3

750 hours | 30 ECTS

Advanced Applied Computer Science

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\ Intended learning outcomes

Knowledge
Knowledge acquired by the learner at the end of the course:
- Students will have a cutting-edge knowledge and understanding of computer science allowing them to solve real-world engineering and specific computational problems using advanced techniques at the forefront of computer science - Students will be able to analyse the societal, regulatory, and technological contexts for key computer science applications - Students will be able to apply their technological abilities to produce innovative solutions to real-world problems and that implement techniques learned in the course - Students will display original thinking on the basis of the knowledge they gain in the course
Skills
Skills acquired by the learner at the end of the course:
- Develop advanced, innovative, and multi-disciplinary problem-solving skills - Communicate computer science methods and tools clearly and unambiguously to specialised and non-specialised audiences - Develop advanced abilities related to computer science operational procedures and implement them in response to changing environments - Critically evaluate alternative approaches to solving real world engineering and technological problems using cutting edge techniques in computer science on the basis of academic scholarship and case studies, demonstrating reflection on social and ethical responsibilities - Formulate technological judgments and plans despite incomplete information by integrating knowledge and approaches from various computer science domains including machine learning, distributed computing, and cloud computing. - Enquire critically into the theoretical strategies for solving real-world problems using computational thinking and tools. - Develop new skills in response to emerging knowledge and techniques and demonstrate leadership skills and innovation in complex and unpredictable contexts
Competencies
Competencies acquired by the learner at the end of the course:
- Formulate research-based solutions to practical problems in environments of incomplete information - Manage decisions with autonomy in complex and unpredictable environments - Organise projects and people in a way that is responsive to changes in the wider technological environment - Demonstrate learning skills needed to maintain continued, self-directed study

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