Accreditation:
EQF7
MaltaSwitzerlandWisconsinCaliforniaWashington
Workload:
750 hours | 30 ECTS
Tuition cost:
0 USD

Postgraduate Certificate in Computer Science

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Kind
Certificate
Area
Computer & Mathematical Science
Mode
Fully Online
Language
English
Student education requirement
Undergraduate (Bachelor’s)
Standard length
6 months
Standard delivery length
4 months
Agreement
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\ Overview

The course teaches students comprehensive subjects in computer science; it teaches students cutting edge engineering skills to solve real-world problems using computational thinking and tools. Most of this program is case (or) project-based where students learn by solving real-world problems end to end. This program has six core courses that focus on computational thinking and problem solving from first principles.

Tiers
Specializations

375 hours | 15 ECTS

Tier 1: Foundational Courses

125 hours | 5 ECTS

Introduction to Problem-Solving Techniques: Part 1

125 hours | 5 ECTS

Data Structures

125 hours | 5 ECTS

Introduction to Computer Programming: Part 1

375 hours | 15 ECTS

Tier 2: Web Development Courses

125 hours | 5 ECTS

JavaScript

125 hours | 5 ECTS

Front End Development

125 hours | 5 ECTS

Back End Development

No items found.

\ Intended learning outcomes

Knowledge
Knowledge acquired by the learner at the end of the course:
- Students will have knowledge and understanding of computer science allowing them to solve real-world engineering and specific computational problems using 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 innovative and multi-disciplinary problem-solving skills - Communicate computer science methods and tools clearly and unambiguously to audiences - Develop basic 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 - 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:
- Manage decisions with autonomy in complex and unpredictable environments - Demonstrate learning skills needed to maintain continued, self-directed study - Communicate with clarity to specialist and non-specialist audiences - Articulate major problems and proposed solutions that arise in the context of computer science - Communicate with clarity complex issues pertaining to computer science

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