About the Course

ABOUT THE COURSE:

DEPARTMENT INFORMATION                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                  

When we hear the word “Artificial Intelligence”, digital assistants, chatbots, robots, and self- driving cars is what strikes our mind. These are some real examples of artificial intelligence, powerful and interesting. Unlike other technologies, we will continue to see the advancements of AI and Data science.

India is rising and shining bright when it comes to adopting new and emerging technologies. Enterprises from almost all major industry verticals are hiring AI and data science experts to help them garner actionable insights from big data. The analytics sector has witnessed a sharp increase in demand for highly-skilled professionals who understand both the business world as well as the tech world. Organizations today are on a constant lookout for such professionals who can fill this ever-growing dearth in talent.

Career Prospects

AI and Data Science domain is considered one of the most lucrative jobs in the industry right now. With numerous openings spanning across all sectors, data science jobs are showing only the signs of growth.

According to Gartner, AI is heralded to create 2.3 million jobs by the end of Year, leading a net gain of 500,000 potentially new jobs. And in the light of COVID-19 crisis, job opportunities for AI workers are bound to see a sharp rise.

The global economic status is not the same, but AI talents can remain positive. 

• According to International Data Corporation (IDC), the number of AI jobs is expected to globally grow 16 percent this

• Gartner‟s report also mentions 85 percent of AI professionals believe the industry has become more diversified in recent 

Stating that organizations across all sectors have started to embrace AI and ML, it is evident that professionals skilled in these technologies will be in huge demand beyond 2020.

2020 is indeed an open door for professionals who are already engaged in AI. 

• Gartner says, about 30 percent of all the B2B companies will be employing AI to boost at least one of their sales 

• According to Demand base, 80 percent of B2B marketing executives proclaimed AI will revolutionize the marketing industry by the end of 2022 

• IDC predicts 75 percent of commercial apps will use AI by

Roles and Job Descriptions

Data Scientist: A Data Scientist will be responsible for modeling complex problems, discovering insights and identifying opportunities through the use of statistical, machine learning, algorithmic, data mining, and visualization techniques. The person will need to collaborate effectively with internal stakeholders and cross-functional teams to solve problems, create operational efficiencies, and deliver successfully against high organizational standards. As a data scientist, you might be asked to assess how a change in marketing strategy could affect your company‟s bottom line. 

Machine Learning Engineer: Research new data approaches and algorithms to be used in adaptive systems including supervised, unsupervised, and deep learning techniques. Machine learning engineers often go by titles like Research Scientist or Research Engineer. 

Data Analyst: Data analysts sift through data and provide reports and visualizations to explain what insights the data is hiding. Transform and manipulate large data sets to suit the desired analysis for companies. 

Statistician: „Statistician‟  is  what  data  scientists  were  called  before  the  term  „data  scientist‟ existed. At a high level, statisticians are professionals who apply statistical methods and models to real-world problems. They gather, analyze, and interpret data to aid in many business decision-making processes. Statisticians are valuable employees in a range of industries, and often seek roles in areas such as business, health and medicine, government, physical sciences, and environmental sciences.

Data Architect: A Data Architect ensures data solutions are built for performance and design analytics applications for multiple platforms. In addition to creating new database systems, data architects often find ways to improve the performance and functionality of existing systems, as well as working to provide access to database administrators and analysts. 

Business Intelligence Developer: Business intelligence (BI) is a set of technologies and practices for transforming business information into actionable reports and visualizations. A business intelligence developer is an engineer that‟s in charge of developing, deploying, and  maintaining BI interfaces. 

Enterprise Architect: An enterprise architect is responsible for aligning an organization‟s strategy with the technology needed to execute its objectives. Enterprise architects are key in establishing an organization‟s IT infrastructure and maintaining and updating IT hardware, software, and services to ensure it supports established enterprise goals. 

Big Data Engineer/Data Engineer: A Big Data Engineer is a person who creates and manages a company‟s Big Data infrastructure and tools, and is someone that knows how to get results from vast amounts of data quickly.

Tools and Skills 

The top companies make use of AI and Data Science

• Amazon
• Apple
• Google
• Facebook
• DJI
• Deepmind
• Casetext
• DataVisor and many mo

Applications of AI 

• Healthcare: Proper diagnosis and treatment are facilitated by introducing AI in
• Education: A suitable learning environment is furnished to the students by utilizing
• Sports: With advanced AI technologies, athletes can expand their
• Agriculture: Maximum yield is possible by AI as it helps in developing the perfect farming environment.
• Construction: Buildings can be constructed more safely and efficiently by the incorporation of AI.
• Banking: Chat-bot assistance, fraud detection, and enhanced payment methods are some of the positive outcomes of
• Marketing: The sales target can be effectively achieved by making use of predictive intelligence along with machine
• E-commerce: Effective warehouse operations, good product recommendations, and fraud prevention are some of the fruits of

AI and Data Science in D. Y. Patil College of Engineering, Akurdi 

1. Strong Industry Collaborations, Technical Workshops, Events, Training through Industry experts.
2. Center of Excellence in AI in collaboration with Industry
3. Best in class infrastructural
4. Specialized lab in AI, ML and Data
5. Strong placement
6. Teacher Guardian system for student mentoring and personalize
7. Employability enhancement course for all around
8. Exposure for project based learning, Support and Encouragement for Industrial Internship.
9. Strong Support for Innovation, product development and

Strength at DYPCOE:

• DYPCOE has TWO state of art infrastructure for Data Science Centre of Excellence in the Department of Information Technology and AI and Cloud Centre of Excellence in association with ESDS, Nashik in the Department of Computer Engineering.
• These Centres of Excellence has a team of faculty members certified in Data Science from IBM and in Artificial Intelligence Technologies.
• Students from the Departments of Computer Engineering and Information Technology are currently getting skilled up under these Centres of Excellence on various concepts of Artificial Intelligence and Data Science.

VISION 

Developing highly skilled and competent IT professional for sustainable growth in the field of Artificial Intelligence and Data science 

MISSION

1. To empower students for developing intelligent systems and innovative products for societal problems.
2. To build strong foundation in Data computation, Intelligent Systems that enables self-development entrepreneurship and Intellectual property.
3. To develop competent and skilled IT professional by imparting global skills and technologies for serving society. 

Course Structure

Course Structure of Artificial Intelligence and Data Science is as attached below:

AIDS Structure

COs

Course Outcome for Semester I:

POs

Graduate Attributes and Program Outcomes

PEO

Programme Educational Objectives

1. To prepare globally competent graduates having strong fundamentals and domain knowledge to provide effective solutions for engineering problems.

2. To prepare the graduates to work as a committed professional with strong professional ethics and values, sense of responsibilities, understanding of legal, safety, health, societal, cultural and environmental issues.

3. To prepare committed and motivated graduates with research attitude, lifelong learning, investigative approach, and multidisciplinary thinking.

4. To prepare the graduates with strong managerial and communication skills to work effectively as individual as well as in teams.

PSO

Program Specific Outcomes

1. Professional Skills: The ability to understand, analyze and develop computer programs in the areas related to algorithms, system software’s, multimedia web design networking and artificial intelligence for efficient design of computer based systems for varying complexity.

2. Problem solving skills: The ability to apply standard practices and strategies in software project development using open ended programming environment to deliver a quality product for business success.

3 Successful career and Entrepreneurship: The ability to employ modern computer languages, environments and platforms in creating innovative career paths to be entrepreneur and to have zest for higher studies.</p