June 2018

AI and Big Data Global

University Assessment

44

University Fresh graduates: India and China have high percentage of employable talent pool for AI and Big Data

~2.6 Mn

Big Data Analytics, Computer Vision, Natural

Language Processing, Machine Learning

Global Available Software Talent

14

0

4

0

4

0

4Total Employable Big

Data/ML Talent

300K – 320k23

Europe~96,000

USA~40,000

Canada

~18,000

China~80,000

India~37,000

Tier 1

~ 80KTier 2

~ 160KTier 3

~ 27K

Total AI professors –~1300 - 1400

Research Focus Areas – ML, Computer Vision

Top Employers in top universities – Uber, Amazon, Adobe, Google, Microsoft

Total AI professors –~150 -250

Research Focus Areas – ML, Computer Vision

Top Employers in top universities – Uber, Google, Citi

Total AI professors –~ 550 - 650

Research Focus Areas – Computer Vision, ML

Top Employers in top universities – Google Microsoft, Facebook

Total AI professors –~50 - 100

Research Focus Areas –ML

Top Employers in top universities – Amazon, Flipkart, Microsoft

Total AI professors –~450 - 550

Research Focus Areas –NLP, Computer Vision

Top Employers in top universities – Tencent, Baidu, Alibaba, Google, Microsoft, Huwaei

Note : DRAUP’s Talent Module analysed 100,000+ global universities to identify top universities and key courses in software engineering, ML and Big Data

32,000UK

24,000Germany

12,000France

5,000S. America

2,000Israel

6,000Singapore

8,000Africa

18,000Australia

55

University Graduates: Globally ~310K employable fresh university ML/Bid Data talent is produced annually

• Globally 59% of ML/Big Data talent comes from undergraduates

• About 62% of the total employable talent pool is graduating with B.E and B.Tech. degrees in Computer science

• For undergraduate Ml/BD talent, India tops the list with 73%

• Density of employable talent in tier 1 is the highest

• Europe has the highest number of fresh ML/BD talent from universities

• China and India are emerging locations where enrolment of Masters and Phdsin ML/Big Data courses has increased by ~23%

Total Global Employable University Talent: ~310,000

Supply Analysis

Under Graduates 59%

Masters/PhDs41%

By Education Level

53%

55%

53%

73%

68%

61%

59%

70%

70%

47%

45%

47%

27%

32%

39%

41%

30%

30%

US

CHINA

UK

INDIA

ISRAEL

SINGAPORE

EASTERN EUROPE

GERMANY

CANADA

UG PG/Masters

Insights

By Education level across geographies

66

Universities in US & UK have larger number of emerging courses compared to RoW

Note - Bubble size represents number of universities offering the course work

Robotics

Neural Network

NLP

Machine Learning

Computer Vision

Cognitive Science

Planning

NLP

Robotics

Neural Network Logic Programming

Planning

AI & Manufacturing

Non- monotonic Reasoning

Manufacturing & Robotics

Horizontal Tech

Manufacturing & Robotics

Horizontal Tech

Legal

Education

Healthcare

Humanities

RoWUS & UK

77

ML, Computer Vision and NLP research publications have picked pace among top global universities

Annually Published ML/AI Papers(In thousands)

2 -2.2

5 -5.5

10 -11

17 - 18

2000 2005 2010 2017 2020E

37 - 38

• Annual AI publications is expected to grow upto

37,000 at a CAGR of 15.7%

• More than 43% of the research scholars opt for

research publications in the field of Machine

Learning and Natural Language Processing

• US and China AI research publications have

increased by ~37% since 2010

Big Data

Computer Vision

ML

NLP

12%

26%

42%

20%

~ 5,000

United States

18%

38%23%

21%

~ 2,700

China

7%

38%29%

15%

~ 2,100

Europe

12%

30%

37%

33%

Canada

~ 1,500

INDEX

Note : DRAUP’s Talent Module analysed 100,000+ global universities to identify top universities and key courses in software engineering, ML and Big Data

Publications

88

Maturity analysis of ~50 unique course-works related to AI-Big Data skills

Intermediate Courses Advanced CoursesBeginner Courses

Mature courses require students to complete course on Advanced Probability Theory and Advanced Statistical Theory and a project

on Advanced Data Analytics

Intermediate courses have a prerequisite to complete one or two of the beginner courses and

require students to complete projects on real world data

Beginner courses do not have any specific prerequisites but prior experience in calculus, probability, statistics etc is

recommended.

• Analogical Reasoning

• Decision Theory

• Fuzzy Logic

• Logic Programming

• Machine Discovery

• Machine Learning

• Planning

• Qualitative Physics and Model based

reasoning

• Search

• Temporal Reasoning

• Philosophy of AI

Key Courses

• Cognitive Modelling

• Genetics Algorithms

• Knowledge Representation

• Computer Vision

• Non-Monotonic reasoning

• Robotics

• Cognitive Science

• NLP

Key Courses

• AI & Manufacturing

• AI & Medicine

• AI & Legal reasoning

• Artificial Life

• Computational Biology

• Emotion

• Neural Networks

• Distributed AI

• Integrated AI Architectures

• Intelligent Tutoring

• Expert System

Key Courses

Universities are specializing in courses with different levels of maturity in the field of AI/ ML & Data Science

Types of course on the basis of maturity level

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