Accreditation:
EQF7
MaltaSwitzerlandWisconsinCaliforniaWashington
Workload:
750 hours | 30 ECTS
Tuition cost:
1,00,000 INR

Postgraduate Certificate in Computer Science: Artificial Intelligence & Machine Learning

\ Apply now
Kind
Certificate
Area
Computer & Mathematical Science
Mode
Fully Online
Language
English
Student education requirement
Undergraduate (Bachelor’s)
Standard length
6 months
Standard delivery length
6 months
Agreement
Download document
Transcript
Download document
Certificates
Download document

\ 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.

Tiers
Specializations

750 hours | 30 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

Relational Databases

125 hours | 5 ECTS

Numerical Programming in Python

125 hours | 5 ECTS

Introduction to Machine Learning

125 hours | 5 ECTS

Applied Statistics

No items found.

\ 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 • Communicate with clarity to specialist and non-specialist audiences through written and oral reports, digests, analyses, strategic options, and computational recommendations • articulate (in writing and orally) major problems and proposed solutions that arise in the context of computer science • communicate with clarity complex issues pertaining to computer science

Are you ready to take the next step towards your academic success?

\ Apply now