18 months
Total Months
90
490 EUR per month
Online
OVERVIEW
Several uses of machine learning approaches have been implemented as a result of deep learning, and governs multiple aspects of our daily lives. With the advent of deep learning the field of computer vision is advancing at a breakneck rate. One of many applications includes – self-driving vehicles, which include facial recognition and indexing, photo stylization, and machine vision.
On difficult computer vision tasks like image processing, object identification, and facial recognition, deep learning approaches produce state-of-the-art outcomes.
MSc in Deep Learning & Computer Vision is aimed at exposing learners to deep learning and its applications to computer vision by taking up simple deep learning models and gradually progressing to more complex ones.
This course will allow the students to dive into concepts of image description and annotation, object identification and image search, multiple object detection methods, motion estimation, camera object monitoring, human movement recognition, and finally image stylization, editing, and new image creation. Students will work on projects involving development of facial recognition system and manipulation.
Meticulously designed curriculum suitable to the industry needs with a high focus on practical applications
Highlights:
Programme encompasses a multitude of tools and concepts, few of which are:
Data science and statistical concepts, Programming with R, SQL, NoSQL, Neural networks, Machine Learning, Big Data, computer vision
ESDST offers Recognition of Prior Experience (RPE) and thus a formal bachelor’s degree is not mandatory for entering this program.
3-4 weeks
90
30
COURSES
The ESDST Online MSc programme in Deep Learning & Computer Vision consists of 12 courses. The course offers exhaustive hands-on experience on multiple projects/assignments with a mandatory capstone industry linked project. Here, each student will be required to work on an exclusive, real world business problem. Duration of each course will be around 3 weeks constituting of 6 ECTS credits. Students must complete all these courses and the capstone project to earn a total of 90 ECTS to qualify the MSc in Deep Learning & Computer Vision.
| Subject Code | Title | Credits |
| 1st Sem – Foundation – Deep learning & Computer Vision | ||
| MBA-106 | Business Statistics | 6 |
| MSDL-101 | Deep learning & Computer Vision Foundation | 6 |
| MSDL-102 | Mathematics for Deep Learning & Computer Vision | 6 |
| MSDL-103 | Programming for Deep learning & Computer Vision using Python | 6 |
| 2nd Sem – Deep learning & Computer Vision Tool Kit and Analytics | ||
| MSDL-104 | Deep Learning Algorithms | 6 |
| MSDL-105 | Data Warehousing and management | 6 |
| MSDL-106 | Big Data and NoSQL | 6 |
| MSDL-107 | Computer Vision Theory and Concepts | 6 |
| 3rd Sem – Deep learning & Computer Vision Application and Visualization | ||
| MBA-112 | Data Visualization and Storytelling with Tableau | 6 |
| MSDL-108 | Natural Language Processing | 6 |
| MSDL-109 | Convolutional and Recurrent Neural Networks | 6 |
| MSDL-110 | Applications of Computer Vision for Industries | 6 |
| 4th Sem – Experiential Learning | ||
| CP-101 | Capstone Consulting Project (Master Thesis) |
12 |
| Total Credits | 90 | |
25%
CAREERS & OUTCOMES
The ESDST MSc in Deep learning and Computer Vision will provide our learners with the necessary theories, expertise, and experience to help them advance in their careers. It will enable them to gain perspective of complexities in the real-world problems and suitable solution techniques by mapping the deep learning concepts to concrete business problems.
This course delves into the specifics of neural-network-based deep learning for computer vision. Students will learn how to create, train, and debug their own neural networks as well as develop a thorough understanding of concepts of computer vision during this course.
Every student of ESDS is assisted by an industry specific mentor. Mentor is responsible for guiding the students through the courses and offering them experiential and core learning with real life examples.
Primary outcomes:
After successful completion of the program, career roles would be guided by the level of expertise of the students and prior experience. For working professionals, opportunities range from career shift/transformation from the current role to a data analysis centric role.
For fresh graduates, the knowledge and skills developed during the MSc programme would enable them to apply for suitable positions centred around their skills and interests. Students can target any of the following roles:
Through its parent institution, Rushford Business School, ESDST is a member of the “Accreditation Council for Business Schools and Programs (ACBSP). ACBSP is a global accrediting body that accredits business programs at the associate, baccalaureate, and graduate degree levels worldwide since 1988. Rushford Business School is part of a membership that extends to more than 60 countries. ACBSP members are amongst the best educators in their respective fields, interested in learning innovative teaching methods, improving the delivery of business education programs, and creative value for their students.
ESDST through its parent schools Rushford Business School and James Lind Institute is a member of the “International Accreditation Council for Business Education (IACBE)” The IACBE accredits business programs that lead to degrees at the associate, bachelor’s, master’s, and doctoral levels in institutions of higher education worldwide. All modes of delivery, campuses, locations, and instructional sites, as well as all business programs regardless of degree level, will normally be included in the IACBE accreditation review.
ESDST through Rushford Business School is a proud supporter and Signatory of the United Nations Principles for Responsible Management Education (UN PRME). PRME is an initiative of the United Nations Global Compact founded in 2007 as a platform to encourage and increase awareness and integration of sustainability in business schools around the world. Today, PRME is the largest coordinated effort between the world’s business schools and the United Nations. Rushford Business School became a PRME signatory in 2020. As a school, we understand the privilege and responsibility of providing quality education that gives learners the knowledge and tools they need to succeed, change lives, and transform societies.
ESDST through its parent institution James Lind Institute is a proud member of the prestigious International Council for Open & Distance Education. ICDE has consultative partner status with UNESCO and shares UNESCO’s key value – the universal right to education for all. ICDE further derives its position from the unique knowledge and experience of its members throughout the world in the development and use of new methodologies and emerging technologies.
Completing your Msc from ESDST gives you the confidence and credibility to have completed a program from a top class European Business School
We offer one of the most flexible programs globally and you are always in control of how quickly you want to learn
We ensure that our academic programs stay current with the latest topics of relevance and importance