18 months
Total Months
120
Online
OVERVIEW
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) plays 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 programme in AL and ML clubs the nuances of both the disciplines to offer students with 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 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 the 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:
Program encompasses a multitude of tools and concepts, 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 etc.
ESDST offers Recognition of Prior Experience (RPE) and thus a formal bachelor’s degree is not mandatory for entering this program.
3 - 4 weeks
120
30
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
25%
CAREERS & OUTCOMES
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 programme would provide students with an opportunity to develop an understanding towards 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. 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:
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:
ELIGIBILITY
ESDST maintains very high standards for students who enter our academic programs. For all MSc programs, the following criteria need to be met before admission is offered to a prospective student.
Qualifications:
Bachelor’s Degree or an equivalent recognized academic title in any discipline.
Qualifications Waiver:
For students who don’t have a Bachelor’s Degree, ESDS uses Recognition of Prior Experience (RPE). ESDS generally utilizes over 3 years of relevant experience in a significant role for waiver of Bachelor’s Degree. Please contact us at admissions@esdst.eu
Proficiency in English:
Evidence of Proficiency in English
IELTS 6.0+ , OR
PTE 50+ , OR
TOEFL 550+, OR
Any other proficiency test taken in the last 2 years
English Proficiency Waiver:
The English proficiency test is waived for the following candidates:
Native English Speakers, OR;
Applicants having completed their schooling in English (i.e. High School Diploma or IB), OR;
Applicants having completed their undergraduate degree in English in an English speaking country, OR;
2 Years of work experience in a setting in which English is the primary language of work
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.
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Completing your MBA 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