Imperial College, London is starting an online M.Sc programme in Machine Learning.
Join a booming, in-demand field with a Master’s degree in Machine Learning from one of the top universities in the world. In this programme, you will develop an in-depth understanding of machine learning models, alongside invaluable practical skills and guided experience in applying them to real-world problems.
The curriculum is designed to propel your engineering or data science career forward, allowing you to choose the path that’s right for you, be that a role as a data scientist, a machine learning engineer, or a computational statistician.
With hands-on projects, you’ll build a portfolio to showcase your new skills in everything from probabilistic modeling, deep learning, unstructured data processing and anomaly detection.
You will build a strong foundation in mathematics and statistics, giving you confidence in your analytical skills, but also acquire expertise in implementing scalable machine learning solutions using industry-standard tools such as PySpark, ensuring that no data is too big or too complex for you.
You will also have the opportunity to broaden your horizons through one of the first of its kind study of ethical topics posed by machine learning.
You will graduate with an ability to go beyond the algorithms and turn data into actionable insights, contribute to strategic decision making in your organisation and become a responsible member of this rapidly growing profession.
Who is this degree for
This degree offers multiple pathways to meet the needs of students with multiple backgrounds — both students just starting a career in data science, and those already working in roles such as senior data analysts, bioinformatics scientists, statisticians or business analysts.
Graduates are likely to pursue roles as data scientists, machine learning engineers, natural language processing engineers, data engineers, bioinformatics or health data scientists, AI engineers, or software engineers. Possibilities extend beyond this list, however, as machine learning is slowly becoming indispensable in other fields, such as journalism or even tourism.
This is a rigorous programme. Applicants are expected to have a quantitative undergraduate degree in a subject like computer science, math, statistics, economics, or physics.
24 months, Average of 21 hours per week.
The first cohort starts on September 14, 2020.
Eligibility (For Indian Students)
To be considered for admission to a Master’s e.g. MSc, MRes, MBA etc, applicants should normally have completed a four year Bachelor’s degree from a mainstream university (state/federal or ‘deemed’ institution) passed with a final mark of 75% or CGPA 8.5+.
Applicants graduating from one of the elite Indian Institutes of Technology should have completed a four year Bachelor’s degree passed with CGPA 7+.
From the Indian universities listed below, a three year Bachelor’s degree with 75% or CGPA 8.5+ for Master’s entry will be accepted.
- Aligarh Muslim University
- All India Institute of Medical Sciences
- Andhra University
- Banaras Hindu University
- Bangalore University
- Christ University (from 2008)
- Guru Nanak Dev University
- Indian Institute of Science, Bangalore
- Indian Statistical Institute
- Jadavpur University
- Jamia Millia Islamia
- Jawaharlal Nehru University
- Kurukshetra University
- Narsee Monjee Institute of Management Studies
- Osmania University
- Panjab University
- University of Calcutta
- University of Delhi
- University of Hyderabad
- University of Madras
- University of Mumbai
- University of Mysore
- University of Pune
- Visva Bharati University
All Imperial applicants must also show that they have a high level of written and spoken English to meet the demands of the challenging academic environment (IELTS 7.0).
At a total cost of £28,000 for a top master’s degree, the MSc in Data Science and Machine Learning costs less than most of the traditional on-campus alternatives and much less than other top online programmes for international (non UK/European) students.
Students can keep their commitments while earning the degree, studying online on their own schedule.
Tuition fees are the same for all students (UK/EU and overseas).
For more information on this course, click the link below and submit your contact details.
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