About Data Science & AI

Data Science is the art of obtaining essential insights from data. We have noticed a significant growth in the generation of raw and unstructured data from various enterprises. This data offers some important details and insights that might help the organization grow. Furthermore, extracting information from data can assist the organization in understanding its consumers’ expectations, generate revenue, improve decision making, and optimize resources.

On the other hand, AI, or Artificial Intelligence, refers to a computer’s or a device’s ability to execute jobs generally performed by a human. Artificial Intelligence makes our lives a lot easier than we can think of. For example, we use AI in everything from Google searches to YouTube algorithms, GPS, chess-playing computers, Alexa, Siri, and Cortana.

About PG Diploma in Data Science by IIIT Delhi

IIIT Delhi’s PG Diploma in Data Science and AI provides a more engaging and convenient platform. Furthermore, being an entirely online nine-month-long program, with classes on weekends, the PG Diploma in Data Science and AI will provide you with a more convenient and pleasant learning environment.

About IIIT Delhi

The Government of Delhi established IIIT Delhi as a State University in August 2008. In 2019, the QS World Universities Ranking placed Indraprastha Institute of Information Technology Delhi 192nd out of 192 colleges worldwide. However, in July 2012, the campus of IIIT Delhi relocates from Dwarka to Okhla Phase-III.

Curriculum

The program structure of the PG Diploma in Data Science and AI splits into three terms. On observing each term, we find a variety of subjects. The first term includes Python Programming for analytics, Probability and Statistics, Mathematics and optimization theory, and Business Intelligence. The second term includes- Introduction to Machine Learning, Predictive Analytics using IBM SPSS, Deep Learning, Big Data Analytics in application, Data Mining. And the third term includes- Application of ML/DL, Natural Language Processing, Artificial Intelligence in applications. 

As we can see, each term crafts itself carefully with the subjects that would polish the knowledge of Data Science and Artificial Intelligence with a touch of Business studies. In addition to that, there is a project at the end of the third trimester. All in all, the curriculum is rich and sufficient for a nine-month online program.

Fees

The nine-month program charges INR 2.5 Lakhs for three trimesters. In comparison with other institutes like IIIT Lucknow (PG Diploma in Data Science- INR 1.50 Lakhs for 12 months), IIIT Bangalore (PG Diploma in Data Science- INR 2.25 Lakh for 11 months), we can see that PG Diploma in Data Science and AI by IIIT Delhi is a bit expensive. 

Internship/Project

There are no such internships provided in this course. However, there is one term project at the end of the third trimester. We observe this as a lack of practical knowledge for the students. 

Brand Name

IIIT Delhi was ranked 52nd all-India among ranked colleges in 2020 by NIRF, 14th among India Today ranked colleges in 2020, and Outlook ranked colleges in 2020. IIIT Delhi has seen a massive amount of growth since its establishment in 2008. To be associated with IIIT Delhi will prove to be a plus point on your resume.

Scholarships

IIIT Delhi does not provide any Scholarships for PG Diploma in Data Science program. 

Library

The Library and Information Center at IIIT Delhi has an extensive range of print and electronic resources, such as an online proofreader, anti-plagiarism tools, videos and web lectures, online programs e-Journals/e-Books/e-Theses, research data repositories, online newspapers, and so on. It is located in a separate facility on campus. 

Accommodation

Since this program is entirely online, IIT Delhi does not provide accommodation facilities for the PG Diploma program with classes on weekends.

Placement

Since the global need for data science and AI is growing, students for the PG Diploma in Data Science and AI will benefit directly from the placement opportunities provided by IIIT Delhi. In 2020, more than a hundred companies participated in the recruitment process of IIIT Delhi. The average annual salary for the graduates can be from around INR 17.48 Lakhs, while the maximum package offered is marked to be INR 154.79 Lakhs p.a.

The top companies to participate in the placement process include Adobe, Microsoft, Myntra, Amazon, Sandisk, Snapdeal, TCS, Urban Clap, Swiggy, Xerox, Wipro, Oracle, Intel, Google, Flipkart, Zomato, Deloitte, etc.

Conclusion

By the research carried out by AI Monks, it can be said that PG Diploma in Data Science and AI is inclined towards Analytics with a touch of Business studies. After completing this program, you will have a polished knowledge and skillset in subjects like Probability and Statistics, Big Data Analytics, Deep Learning, Artificial Intelligence, and many other topics that the rich curriculum of the program contains. Further, the fees charged might seem a little expensive. Moreover, the placement opportunities seem to be worth the money.

If you found the AI Monks’ Review: PG Diploma in Data Science & AI by IIIT Delhi useful, you should check out our views about other courses too, here.

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Here is a listicle of some of the most prestigious institutes that offer B.Tech/B.E. in Artificial Intelligence (AI) courses in India-

Chandigarh University.

Course- BE CSE in Artificial Intelligence & Machine Learning.

Chandigarh University was established in 2012. It offers more than 180 courses in around seventeen different streams. With the four-year course on AI and Machine Learning, Chandigarh University aims to plant as many aspects of artificial intelligence as a human mind can. You can apply for this course online by clicking this link and offline. 

Some of the key features of the program are below-

Location- Chandigarh.

Course Fees- INR 7.60 Lakhs

Course Duration- Four years.

Study mode- Full-time Regular Classroom Course.

Eligibility- 10+2 with at least 50%(General)/45%(SC/ST) .

Placement Opportunities- Amazon, Google, HCL, HP, Motorola, Microsoft, Yes Bank, etc.

For more information about the program, read our article about it here.

SAGE University.

Course- B.Tech in Artificial Intelligence.

Established in 2017, SAGE University has sponsored the study and research of nearly 200 programs in various streams. Further, with B.Tech in Artificial Intelligence, Sharda University aims to understand better how AI works and its uses. You can apply for this course by registering yourself here. 

Some of the critical features of this program are given below-

Location- Indore, Madhya Pradesh.

Course Fees- INR 540000.

Course Duration- Four years.

Study mode- Full-time Regular Classroom Course.

Eligibility- 

• minimum of 60% marks in 10+2.
• English as a core subject in 12th standard.
• Qualify for the University Entrance Exam and the JEE Mains.

Placement Opportunities- Accenture, Amazon.com, CordLife, eClinical works, GGK Technologies, Global Logic, HCL, ICICI Prudential, Infosys, etc. 

Check out our detailed article on the B.Tech in AI by SAGE University here.

Dehradun Institute of Technology (DIT University).

Course- B.Tech. CSE with specialization in AI, Machine Learning, and Robotics.

The Dehradun Institute of Technology was founded in 1998 by Late Naveen Agarwal. It was declared DIT University by the Uttarakhand State Government in 2013. Moreover, DIT University has over fifty programs in various fields. The four-year course in AI, ML, and Robotics is a collaboration with IBM. You can apply for this course by registering yourself on the University’s official website.

Below are some of the main features of this program- 

Location- Dehradun, Uttarakhand.

Course Fees- INR 960000.

Course Duration- Four years.

Study mode- Full-time Regular Classroom Course.

Eligibility- 

• A minimum of 60% in 10th standard.
• Aggregate 60% in 12th standard with a science background. 
• 60% in the following subjects- Physics, Chemistry, Maths, English/ Physics, Maths, Biology English/ Physics, Maths, English, Computer.

Placement Opportunities- Amazon, IBM, Google, ClickLab, Direct I, etc.

In the meantime, read our detailed article about the B.Tech Program by DIT University here.

JAIN (Deemed-To-Be) University.

Course- B.Tech. in Computer Science & Engineering (Artificial Intelligence).

Jain Deemed-to-be University was founded as Shri Bhagwan Mahavir Jain College in Bangalore, India, in 1990. It earned its ‘deemed-to-be-university’ status in 2009. Further, it operates more than 200 programs at UG and PG levels in more than six streams. Studying B.Tech CSE in Artificial Intelligence by Jain Deemed-to-be University will learn how to deal with the emerging technologies in the industry. You can apply for this course by registering yourself here.

Below are some of the key features of this program-

Location- Bangalore, Karnataka.

Course Fees- –

Course Duration- Four years.

Study mode- Full-time Regular Classroom Course.

Eligibility- 

• Physics and Mathematics as compulsory subjects along with Chemistry / Computer Science / Electronics as one of the subjects.
• Minimum of 60% marks (55% in SC/ST) in 10+2 in the subjects above.

Placement Opportunities- Britannia, CapGemini, Capital Via, Dell, GODREJ, etc 

Quantum University.

Course- B.Tech AI & Machine Learning.

Quantum University, previously known as Quantum Global Campus, was established in 2008. The University, in addition to more than ten specializations, offers over thirty programs in two streams. They attempt to provide students with the newly revised curriculum with the B.Tech in AI & Machine Learning program. Interested candidates may apply online and offline.

Some of the main features of the program are given below-

Location- Roorkee, Uttarakhand.

Course Fees- INR 6.33 Lakhs.

Course Duration- Four years.

Study mode- Full-time Regular Classroom Course.

Eligibility- 

• Qualify 10+2 with at least 50% marks.
• Have English, Physics, and Maths as compulsory subjects in 10+2.
• Have one of the following subjects- Chemistry, Biology, Biotech, or Computer Science in 10+2.
• Further, qualify for the JEE Mains or State Level Entrance Exam.

Placement Opportunities- Airtel, Apollo Tyres, Atlas Cycle, Berger Paints, Flipkart, HDFC Bank, Indian Army, NIIT Technologies, Oracle, etc.

Meanwhile, have a look at our detailed article about the course here.

Sharda University.

Course- B.Tech CS – Artificial Intelligence (AI) & Machine Learning.

Sharda University is a private institution founded under Uttar Pradesh’s State Legislature Act in 2005. It has over 13,000+ students and the highest level faculty of 1,200+ members. In the B.Tech Program, they train the young minds about the machines’ ability, the importance of data, and the art of integrating them to perform complex tasks that involve decision-making in real-time. Meanwhile, interested candidates may apply for the course by clicking on this link.

Here are some of the critical features of the program-

Location- Greater Noida, Uttar Pradesh.

Course Fees- INR 7.50 Lakhs.

Course Duration- Four years.

Study mode- Full-time Regular Classroom Course.

Eligibility- 

• Scored at least 60% marks in matriculation or equivalent education
• Pass 10+2 with at least 70% aggregate marks
• At least 60% marks in PCM/PCB, with no gap between 10th and 12th
• Lastly, at least 50% marks in Maths

Further, along with these, you need to have at least one of the following-

• SUAT followed by PI
• Rank up to 3 lakh in JEE
• Rank up to 50,000 in UPSEE

Placement Opportunities- Amazon, Mphasis, CapGemini, Quickheal, TCS, etc.

Check out our detailed article about this program here.

Now that you have a broad idea about the to institutes that offer B.Tech/B.E in AI courses in India, choose the institute and the program that suits you best! You can further reach out to AI Monks in case you have any queries.

Join our Telegram Group to get mentored by top analytics professionals for FREE. Moreover, you could also join our Whatsapp Group to stay in touch with the analytics world’s happenings.

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INR 204,480 Mode of Teaching Full-time; Day-time classroom teaching

*1 Swedish Krona (SEK)= INR 7.5

All you Need to Know

Kungliga Tekniska högskolan or KTH for short is Sweden’s largest public-research technical university focusing on engineering and technology. Stated as a jumpstart to a technical career, machine learning is a popular course that has garnered attention lately. The School of Electrical Engineering and Computer Science at KTH offering the Machine Learning programme, studies the mathematical and statistical foundations and techniques of machine learning, combined with artificial intelligence. The QS Global rankings place it at 98, as of 2020.

Duration and Location

Master’s in Machine Learning at KTH is a two-year full-time programme given in English. 

The Master of Science programme in Machine Learning is held primarily at the KTH Campus in Stockholm, by the School of Electrical Engineering and Computer Science. 

The exact address is as below-

Brinellvägen 8, 

114 28 Stockholm, 

Sweden

Details of Master’s in Machine Learning at KTH

Master’s in Machine Learning at KTH is divided into 4 semesters. The programme focuses on teaching the mathematical and statistical foundations and methods of machine learning to the students with the idea of enabling them to model and discover patterns from observations.

The course provides chances of practical learning of how to match, apply and implement relevant machine learning techniques to solve real world problems. The programme starts with compulsory courses in Machine Learning and Artificial Intelligence, followed by an advanced course in machine learning and research methodology.

Post this term, corresponding to the core competencies of a machine learning expert, the students have an option of choosing from two areas namely, application domains within machine learning and theoretical machine learning.

The first group of courses enables students to solve problems in particular application domains such as computer vision, information retrieval, speech and language processing, computational biology and robotics. The second group, on the other hand, provides knowledge of more basic theoretical courses in applied mathematics, statistics, and machine learning.

The final term consists of a degree project in which the students are required to participate in advanced research or design projects in an academic or industrial environment, in Sweden or abroad. This project enables the students to demonstrate their ability to perform projects independently with the help of the skills obtained from the programme.

Fees

The total fee of the course is 310,000 SEK (approximately INR 204,480) and can be paid in installments. The first installment of the tuition fee is 77,500 SEK, which is to be paid by 31st May 2020. 

Scholarship

KTH offers 4 different scholarship opportunities for postgraduate studies. 

• The first type of scholarship covers the tuition fee of a one or two year master’s programme
• The second type is the one-year scholarship that covers the tuition fee exclusively for the second year of study. However, the living costs are excluded
• The third type is the KTH Joint Programme Scholarship focusing on students under joint programmes or exchanges
• The last type of scholarship, named as The KTH India Scholarship is aimed at Indian students. Established in 2012 by an unknown philanthropist, it gives out 2 scholarships per year. The scholarship covers the full tuition fee of a two-year master’s programme with an additional benefit of monthly living expenses

To be eligible for any of the scholarships, students must apply any time between 1st December 2019 until 15th January 2020.

Eligibility Conditions for Master in ML at KTH

To apply for admission to Master’s in Machine Learning at KTH, one must fulfill the following conditions-

• An undergraduate degree in Computer Science/Mathematics or equivalent, with excellent academic records
• Certification of English language in one of the following is mandatory-
  • TOEFL internet-based: Score of 20 (scale 0-30) in written test, a total score of 90
  • TOEFL iBT internet-based: Score of 20 (scale 0-30) in written test, a total score of 90
  • IELTS Academic/IELTS UKVI: A minimum total grade of 6.5, not less than 5.5
  • Cambridge ESOL certification
  • Michigan English Language Assessment Battery (MELAB): Minimum score of 90/ University of Michigan, ECPE (Examination for the Certificate of Proficiency in English)
  • Pearson PTE Academic: Score of 62 (writing 61)
• Academic transcripts
• A copy of Passport or any other identification document
• Letter of Motivation
• Letter of Recommendation
• Summary sheet (mandatory)

Admission Process of Master’s in Machine Learning at KTH

Given below are the important application dates for the programme-

• Application Commencement Date- 16 October 2019
• Last Date of Application- 15 January 2020
• Last Date for Submission of Documents- 3 February 2020
• Declaration of Results- April 2020
• Commencement of Classes- August 2020

The course also involves an application fee of SEK 900 (INR 6755), which is to be paid before the end of January 2020. 

Career specializations in Machine Learning at KTH

Sweden is known as the home to many technological firsts and hub of IT companies. The Global University Employability Ranking of KTH, as of 2019, is 58. It has a very impressive alumni network spread across globally.

The choice of job profiles after Maters of Science in Machine Learning includes Software Developer and Engineer, Deep Learning Engineer, Computer Vision Engineer, Data Analyst and Scientist, Quantitative Analyst and Systems Engineer.

The following companies are known to visit the campus for placement opportunities for the students every year- 

• Ericsson
• SAAB
• Scania
• Dice
• Logitech
• Google
• McKinsey

Around 20% of the students pursuing the course got their first jobs post the completion of their degree projects. Armada is the student union career fair that is flocked by around 150 companies each year. Additionally, the vibrant start-up communities and established organizations in AI and Machine Learning in Stockholm tend to offer relevant industrial work to the graduates of the course within the field.

To learn more about the course and the college, you may find more information here. 

Keep following AIMonks to stay updated with information related to Machine learning and more.

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