MSc Data Science, Machine Learning & Artificial Intelligence Online
DURATION
18 up to 36 Months
LANGUAGES
English
PACE
Part time
APPLICATION DEADLINE
Request application deadline
EARLIEST START DATE
Request earliest startdate
TUITION FEES
EUR 5,500 *
STUDY FORMAT
Blended, Distance Learning
* *€9000 for full program for higher income countries
Introduction
Machine learning has emerged as the discipline which emphasizes the development of advanced data-driven computer programs that can access data and learn by themselves. This is aimed at removing human intervention in the most tedious of tasks.
Artificial Intelligence (AI) and Machine Learning (ML) play kin to it. Irrespective of the industry, ML and AI have drastically altered the landscape and invented new ways of looking at the data. All being backed by standard statistical and mathematical principles.
This Masters in Science program in AL and ML clubs the nuances of both the disciplines to offer students exactly what is needed to understand the world of data in tools and in theory. machine learning to enable student’s business decision-making and analytics.
The course focuses on developing statistical thinking to line a foundation of varied specialization courses in their future course of study. It involves an introduction to the statistical concepts and tools widely used for Data Analysis and helps in effective deciding.
Students will discover the concepts and gain expertise on the usage and applications of algorithms of Artificial Intelligence and Machine Learning. They will have abundant opportunities to plunge into advanced concepts. By hands-on projects, students will gain experience on the concepts behind search algorithms, clustering, classification, optimization, reinforcement learning, and other topics and incorporate the learning in R Programs.
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 the latest developments in the industry
The program encompasses a multitude of tools and concepts, a few of which are:
Data science and statistical concepts, Programming with R, SQL, NoSQL, Artificial Intelligence, Machine Learning, Big Data, Natural Language Processing, Cloud Computing.
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
Curriculum
- Approximate Course Length: 3-4 weeks
- Total ECTS Credits: 120
- Maximum Number of Transfer Credits: 60
The ESDST Online MSc program in Data Science, ML & AI consists of 24 courses spanning various subjects on Artificial Intelligence and ML. The course offers a wealth of 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 5 to 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 Artificial Intelligence and Machine Learning.
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
Artificial Intelligence and Machine Learning (5 ECTS)
Mathematics for Machine Learning (4 ECTS)
Data Warehousing and Management (4 ECTS)
Machine Learning Methods Using Python (4 ECTS)
Ethics in AI (4 ECTS)
> Award of Certificate in Foundation Business Analytics
Data Visualization and Storytelling with Tableau (5 ECTS)
Artificial Intelligence and Robotics (5 ECTS)
Robotic Process Automation (5 ECTS)
Natural Language Processing (5 ECTS)
Econometrics (5 ECTS)
Business Application Seminar (4 ECTS)
> Award of Certificate in Expert Data Science
Capstone Consulting Project (30 ECTS)
> Award of Practitioner Badge – Data Science
Total ECTS: 120
> Award of MSc in Data Science, Machine Learning & Artificial Intelligence
Program Outcome
The ESDST MSc in Artificial Intelligence and Machine Learning will train our graduates in the essential concepts, skills, and knowledge to support them in their career growth. Emphasizing the application of theoretical concepts to practical problems, this program would provide students with an opportunity to develop an understanding of the intricacies and solutions of real-world problems. Adequate business projects, guided training on advanced tools, and lectures by industry mentors will enable students to deeply understand the force of AI and ML around the globe.
Each student at ESDS is matched with an Industry mentor, preferably in the same industry in which the student is working or has aspirations to enter. The mentor is responsible to guide the students through the course and present them with real-life experiential learning along with core learning taking place in the program.
Primary outcomes:
- Gain an understanding of Al concepts and MI algorithms, with the application of each
- Develop critical thinking by taking up assignments that require problem-solving, inference, and perception
- Understand business problems and weave an approach to solve them through the learned principles
- Figure up a method to judiciously study and scan data to apply ML algorithms to reveal insights
- Be proficient in the usage of tools/technologies prevalent in the data science industry
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