European School of Data Science and Technology - ESDST
MSc in Artificial Intelligence and Robotics OnlineDURATION
18 up to 36 Months
LANGUAGES
English
PACE
Part time
APPLICATION DEADLINE
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EARLIEST START DATE
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TUITION FEES
EUR 5,500 *
STUDY FORMAT
Blended, Distance Learning
* *€9000 for full program for higher income countries
Key Summary
Introduction
Artificial intelligence (AI) and robotics have emerged as influential discoveries in the world of data science and machine learning. Applications of AI in robotics rover from inside to outside of the heavy-duty industry settings i.e. automating tasks which otherwise needed immense human effort and of course time. Over the last few years, AI’s increasing presence in robotic solutions has opened room for flexibility and learning capabilities in formerly rigid robotic solutions.
Robotics being an amalgamation of Electrical Engineering, Mechanical Engineering, and Computer Science, when merged with Artificial intelligence changes the way robotics, has been working till now.
This course would enable students to embrace the concepts of artificial intelligence and understand their extension to robotics. Students will work on projects involving the development of facial recognition systems and manipulation.
Highlights:
- Meticulously designed curriculum suitable to the industry needs with a high focus on practical applications
- Online delivery of lectures to facilitate learning at your own pace
- Best in class mentors with a rich industry and academia experience, providing 1 on 1 mentorship
- Supervised projects coming from various industries across all the offered courses
- Comprehensive courseware and study material
- 360-degree coverage of additional courses in each term, for candidates to be job-ready
- Extensive hands-on over the widely used Analytics tools and technologies
- Application of theoretical concepts to solve business problems
- Expert International instructors
- Constant exposure to latest developments in the industry
The program encompasses a multitude of tools and concepts, a few of which are:
AI and statistical concepts, Programming with Python, 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.
Accreditations:
European School of Data Sciences & Technology (ESDST) is a Swiss EduQua certified institution with the certification number CH23/00000103. EduQua certification is a testament to the quality of education offered by ESDST.
Our degrees are awarded in partnership with Ascencia Business School, France. With 5 campuses in France and multiple study centers in the middle east, Ascencia Business School is recognized by the French Ministry of Labor within the National Directory of Professional Certification (RNCP). It is also approved by WES and boasts of over 6500 alumni from 75 countries.
ESDST is the data school of Rushford Business School, which is based in Geneva, Switzerland. The school offers higher degree programs in Business and Management. The school offers unique MBA programs in varied specializations such as agribusiness, finance & investment, marketing, clinical research.
ESDST as a data school of Rushford Business School is a member of IACBE.
The average salary range for Quantitative Data Analysts in the USA is between $112,402 and $142,709.
Are you ready to accelerate your career with us?
We start our batches every month! Join today!
Gallery
Ideal Students
No prior technical background is required to enroll in our programs. All learners interested in mastering data-driven decision-making can join.
Our academic committee has thoughtfully designed a curriculum covering basics to advanced levels, alongside a didactic model offering flexibility in learning duration. Our didactic model follows a modular system of delivery, allowing you to learn, research, and become an expert in one module before progressing to the next.
Our experiential learning approach teaches you how to consistently utilize data tools for business decision-making.
Regardless of your field—finance, human resources, marketing, operations, etc.—your recommendations carry more weight when supported by data. This emphasis on data-driven decision-making is central to our teachings!
Are you ready to accelerate your career growth?
Admissions
Scholarships and Funding
Inclusivity in education is essential to us, and we strive to ensure that no one is excluded due to differing income levels across countries. Hence, we're pleased to announce our commitment to inclusion by offering a reduced fee of up to 40% for individuals from lower and middle-income brackets. Please refer to our program pages for details on the adjusted fees.
Curriculum
- Approximate Course Length: 3-4 weeks
- Total ECTS Credits: 120
- Maximum Number of Transfer Credits: 30
The ESDST Online MSc program in Artificial Intelligence and Robotics consists of 24 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. The duration of each course will be around 3 weeks constituting 6 ECTS credits. Students must complete all these courses and the capstone project to earn a total of 120 ECTS to qualify for the MSc in AI for Robotics.
COURSES
Business Statistics and Advanced Excel (4 ECTS)
Business Analytics and Research Methods Foundation (4 ECTS)
Programming for Analytics using Python (4 ECTS)
Predictive Analytics Methods (4 ECTS)
Business Communication (3 ECTS)
Professional Career Lab (1 ECTS)
> Award of Certificate in Business
Big Data and NoSQL (4 ECTS)
Artificial Intelligence and Machine Learning (4 ECTS)
Computer Vision and Image Recognition (4 ECTS)
Data Warehousing and Management (4 ECTS)
Ethics in AI and Robotics (4 ECTS)
> Award of Certificate in Foundation Business Analytics
Robotics Programming (5 ECTS)
Data Visualization and Storytelling with Tableau (5 ECTS)
Artificial Intelligence and Robotics (5 ECTS)
Convolutional and Recurrent Neural Networks (5 ECTS)
Natural Language Processing (5 ECTS)
Robotics Process Automation (5 ECTS)
> Award of Certificate in Artificial Intelligence
Capstone Consulting Project (30 ECTS)
> Award of Practitioner Badge – Artificial Intelligence
Program Outcome
The ESDST MSc in Artificial Intelligence and Robotics is directed to make our learners fluent in developing AI models suited to Robotics being used in day-to-day life in major industries globally. The course is directed at enabling students to understand Artificial Intelligence with respect to Robotics. Students will thoroughly understand statistics, programming, and AI concepts as applied to Robotics. It would equip them with the necessary skills in Python, required libraries, and AI algorithms to suit robotics applications as gesture mapping, movements.
Every student of ESDS is assisted by an industry-specific mentor. A mentor is responsible for guiding the students through the courses and offering them experientially and core learning with real-life examples.
Primary outcomes:
- Gain root level understanding of AI concepts
- Understand the origin, evolution, growth, and application of robotics
- Develop programming skills and develop AI algorithms suiting robotics using Python
- Build mathematical and statistical knowledge
Program Tuition Fee
Career Opportunities
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 program would enable them to apply for suitable positions centered around their skills and interests. Students can target any of the following roles:
- Data Scientist/Data Manager
- AI specialist/ AI analyst
- Machine Learning Specialist/ Machine Learning Manager