Post Graduation Courses on Machine Learning in the US and India

Post Graduation Courses on Machine Learning in the US and India

In spite of the fact that the idea of Artificial intelligence has been existing for a long time, it is just in the current years that it has grabbed on the innovation diagrams and is drifting on each industry conceivable. Getting to be plainly extraordinary compared to other cherished technologies among the ingenious minds over the globe, AI requests a mix of software engineering, math, intellectual brain science and engineering.

There is no uncertainty about the way that soon the interest for experts prepared in Artificial intelligence would surpass supply. In spite of the fact that there is some cover of AI with the examination, a capable AI expert would have deep knowledge on ranges like computer vision, NLP, robotics, machine learning etc.

Top Best Universities / Colleges in the US

 

Columbia University, New York


The Machine Learning Track

The Machine Learning Track is intended for students who wish to develop their knowledge of machine learning techniques and applications. Machine learning is a rapidly expanding field with many applications in diverse areas such as bioinformatics, fraud detection, intelligent systems, perception, finance, information retrieval, and other areas.

SUMMARY OF REQS

Machine Learning track students must complete a total of 30 points and must maintain at least 2.7 overall GPA in order to be eligible for the MS degree in Computer Science.

REQUIRED TRACK COURSES

Students must complete two required track courses by either taking two courses from group A, or one course from group A plus one course from group B. (At least one course must be taken from group A). Students who have taken equivalent courses in the past and received grades of at least a B may apply for waivers and take other CS courses instead.

Group Course ID                        Title

A        COMS W4252                    Introduction to Computational Learning Theory

A       COMS W4771 or W4721*   Machine Learning/Machine Learning for Data Science

A       COMS W4772                   Advanced Machine Learning

A       COMS/STAT G6509/6701 Foundations of Graphical Models

B       COMS W4731                   Computer Vision

B      COMS W4705                    Natural Language Processing

B     COMS W4733                    Computational Aspects of Robotics

B     COMS W4701                    Artificial Intelligence

Carnegie Mellon University, Pennsylvania


The machine learning department offers four different “Introduction to Machine Learning” courses: 10-401, 10-601, 10-701, and 10-715, as well as a preparatory course 10-606/10-607.  All four “Introduction” courses have a similar goal: to introduce students to the theory and practice of machine learning.  That is, students who take these courses will be able to

  • select and apply appropriate machine learning algorithms for a given learning problem
  • modify existing learning algorithms to apply to novel situations, and implement the modified algorithms
  • read and understand research papers about machine learning algorithms

But, the courses differ in their assumed background, their relative emphasis on these goals, and their pace.  This page is intended to help students choose which course is right for them.

University of Washington

UW is one of the world’s top centers of research in machine learning. We are active in most major areas of ML and in a variety of applications like natural language processing, vision, computational biology, the Web, and social networks. Check out the links on the left to find out who’s who and what’s happening in ML at UW.

Stanford University, California


The Department of Statistics and Institute for Computational and Mathematical Engineering (ICME) offer an M.S. in Data Science, where it is a terminal degree for the former and a specialized track for ICME. There are several electives that range from machine learning to human neuroimaging methods for students, but strong math (linear algebra, numerical methods, probabilities, PDE, stats, etc.) and programming skills (C++, R) form the core of the course. Go to the homepage for more information about prerequisites and requirements.

  • For information about admissions and financial aid, go here.

New York University

The Master of Science in Data Science is for students with a strong programming and mathematical background. The Center for Urban Science and Progress and the Center for the Promotion of Research Involving Innovative Statistical Methodology work closely with the Center for Data Science. The university offers full-time and part-time options; students have to earn 36 credits and also have six electives to choose from. Tuition scholarships are available although not for university fees.

Texas A&M University, Texas


The Houston-based university has a Master of Science in Analytics degree offered by the Department of Statistics. The course is tailored for “working professionals with strong quantitative skills.” What’s more, students can access Mays Business School courses as well. The part-time course, with evening classes, takes two years to complete. The program, which focuses on statistical modeling and predictive analysis, does have an online option.

 

Top Best Universities / Colleges in India

 

SP Jain School of Global Management

Students can decide for the full-time or part-time options of the Big Data & Analytics program offered by the Mumbai-based Institute. Individuals with earlier work experience are given preference. The program has 10 center courses including cutting-edge topics such as machine learning, data mining, predictive modeling, natural language processing, visualization techniques, and statistics. Industry specialists and academicians concentrate on application-based learning, teaching students how to apply current tools and technologies to extract profitable insights from big data.

Narsee Monjee Institute of Management Studies

It offers a 1-year Postgraduate Certificate Program in Business Analytics in association with the University of South Florida. The course led in its Mumbai campus joins classroom training with online sessions. NMIMS will take 12 hours and USF Muma College of Business faculty will take 20 hours to train students on the current Business Analytical tools, methodologies, and technologies. The Course covers subjects such as introduction to statistics, database management, business intelligence and visualization, machine learning, big data analytics, data mining, financial analytics, and optimization. Students will learn how to handle real-world business issues through the capstone project.

Great Lakes Institute of Management

Great Lakes’ Post-Graduate Program in Business Analytics and Business Intelligence has been positioned in the best analytics course in the country by Analytics India Magazine. The course is intended for working experts and is offered in its Chennai, Gurgaon, and Bengaluru campuses. The educational programs joins business management skills and analytics, including case studies and hands-on preparing in relevant tools such as Tableau, R, and SAS. Students need to go to 230 hours of classroom sessions and 110 hours of online sessions.

IIM Bangalore

The year-long Certificate Program on Business Analytics and Intelligence contains six modules and a project. The course content includes Data Visualization and Interpretation, Data Preprocessing and Imputation, Predictive Analytics: Supervised Learning Algorithms, Optimization Analytics, Stochastic Models, Data Reduction, Advanced Forecasting and Operations Analytics, Machine Learning Algorithms, Big Data Analytics,and  Analytics in Finance and Marketing. The Institute might want the candidates to have at least 3 years of work involvement. Online classes are interested to a predetermined number of participants, who must go on-campus sessions also.

MISB Bocconi

One Year Executive Program in Business Analytics is instructed by renowned faculty from SDA Bocconi (Milan) and Jigsaw Academy at the Mumbai International School of Business Bocconi (MISB) campus in Mumbai.The course content involves web analytics, statistics, visualization, R, time series, text mining, SAS, machine learning, Big Data (Sqoop, Flume, Pig, HBASE, Hive, Oozie, and SPARK), and digital marketing. Students learn core concepts of business analytics and its application across different areas.

Additionally I have included below top 5 Part time Master;s degrees on Machine Learning.

TOP 5 Best Part Time Masters Degrees (Machine Learning)

1.) Informatics: ANC: Machine Learning, Computational Neuroscience, Computational Biology – MScR

University of Edinburgh School of Informatics Edinburgh United Kingdom

Course Description

Research profile

The Institute for Adaptive and Neural Computation (IANC) is a world-driving establishment committed to the hypothetical and experimental investigation of adaptive processes in both artificial and biological systems. This is one of the UK’s largest and most prestigious academic groups in these fields.

We encourage world-class interdisciplinary and collaborative research bringing together a range of disciplines.

Our research falls into three areas:

  • machine learning

  • computational neuroscience

  • computational biology

In machine learning we create probabilistic strategies that discover patterns and structure in data, and apply them to scientific and technological issues. Applications include areas as diverse as astronomy, health sciences and computing.

In computational neuroscience and neuroinformatics we contemplate how the cerebrum forms data, and dissect and decipher information from neuroscientific tests.

The concentration in the computational biology area is to create computational procedures to store, analyse and model a variety of biological data.

2.) Computer Vision, Robotics and Machine Learning – MSc

University of Surrey Faculty of Engineering and Physical Sciences Guildford United Kingdom

Course Description

If you are fascinated by the acquisition, processing, analysis and understanding of computer vision, this Experts is for you.

The program is offered by Surrey’s Department of Electrical and Electronic Engineering, perceived for world-leading research in multimedia signal processing and machine learning.

Program Review

This degree gives in-depth training for students interested in a profession in industry or in research-oriented institutions concentrated on image and video analysis, and deep learning.

Best in class computer-vision and machine-learning approaches for image and video analysis are shrouded in the course, as well as low-level image handling techniques.

Students also have the opportunity to generously expand their programming skills through projects they embrace.

Program STRUCTURE

This programme is studied full-time more than a year and part-time more than four years. It consists of eight showed modules and a standard project.

The accompanying modules are demonstrative, mirroring the data accessible at the time of publication.


-Digital Signal Processing A
-Object Oriented Design and C++
-Image Processing and Vision
-Space Robotics and Autonomy
-Satellite Remote Sensing
-Computer Vision and Pattern Recognition
-AI and AI Programming
-Advanced Signal Processing
-Image and Video Compression
-Standard Project

3.) MSc Artificial Intelligence

Heriot-Watt University School of Mathematical and Computer Sciences Edinburgh United Kingdom

Course Description

Data mining, pattern recognition and machine learning are j are only three of the numerous applications that we underestimate and that depend on on artificial intelligence software. Both the MSc and PG Diploma intend to furnish students with the knowledge and skills necessary to make a significant commitment to this quickly advancing and broad field of software development.

Full-time students take 4 courses every semester and should ordinarily bring courses set apart with **

Semester 1 
3D Modelling and Animation 
Artificial Intelligence and Intelligent Agents 
Data Mining and Machine Learning ** 
Rigorous Methods for Software Engineering 
Robotics and Automation 
Software Engineering Foundations 

Semester 2 
Advanced Interactive Design 
Biologically Inspired Computation** 
Computer Games Programming ** 
Research Methods and Project Planning** 
Virtual Environments 

After semester 2, students continue full-time on the MSc project.

 

4.) EPSRC Centre for Doctoral Training in Robotics & Autonomous Systems – MScR

University of Edinburgh School of Informatics Edinburgh United Kingdom

Course Description

Research profile

Robots can possibly upset society and the economy, working for us, close to us, and interfacing with us. This EPSRC-sponsored programme will deliver graduates with the technical skills and industry awareness to create an innovation pipeline from scholarly research to worldwide markets.

The robotics and autonomous systems area has been featured by the UK Government in 2013 as one of the eight Great Technologies that support the UK’s Industrial Strategy for jobs and growth.

5.) MSc Artificial Intelligence

Heriot-Watt University School of Mathematical and Computer Sciences Edinburgh United Kingdom

Course Description

Data mining, pattern recognition and machine learning are just three of the numerous applications that we take for granted and that are based on artificial intelligence software. Both the MSc and PG Diploma expect to furnish students with the knowledge and skills necessary to make a valuable contribution to this r quickly advancing and widespread field of software development. 

Full-time students take 4 courses each semester and must normally take courses marked with ** 

Semester 1 
3D Modelling and Animation 
Artificial Intelligence and Intelligent Agents 
Data Mining and Machine Learning ** 
Rigorous Methods for Software Engineering 
Robotics and Automation 
Software Engineering Foundations 

Semester 2 
Advanced Interactive Design 
Biologically Inspired Computation** 
Computer Games Programming ** 
Research Methods and Project Planning** 
Virtual Environments 

After semester 2, students continue full-time on the MSc project.

Conclusion

With the huge amounts of data pouring in and the need to apply analytical solutions to address business challenges, the future looks brighter than ever for data scientists and machine learning experts. Salaries are naturally high for these much sought-after skills.

For programmers and statisticians, getting certified is the next step. For students looking to distinguish themselves, these are great career opportunities.

In this post, we have put together a list of graduate programs offered by highly ranked institutes and universities in the US and India. On-campus courses are interactive; nothing can beat face-to-face contact with the faculty and peers, the friends you make, and the easy access to relevant resources.

Finally in this post we have added Part time master’s degree colleges/institute in machine learning which are for working enthusiasts.

What do you think about this courses. Add your comment below.

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