Blog Categories
Data Science and Artificial Intelligence: Revolutionising the Digital Age
In today’s rapidly evolving digital landscape, data science and artificial intelligence (AI) are at the forefront of technological innovation. These powerful tools, from healthcare to finance, are revolutionising industries by enabling data-driven decision-making and automating complex processes. This blog will help explore how data science and artificial intelligence are transforming how we work, live, and interact with the world around us, shedding light on the unprecedented opportunities and challenges they bring.
What is Data Science?
Data science is defined as the study of data to extract meaningful insights for business. It is a separate field of work that deals with the management and processing of data using statistical methods, artificial intelligence, and various other tools in partnership with domain specialists. These insights can be used in extensive decision-making, strategic planning, and working. Data science plays a critical role in leveraging the vast amounts of data generated in the digital age to extract valuable insights and gain competitive advantages in numerous fields.
6 Applications of Data Science
The relevance of data science spans various industries and sectors, playing a pivotal role in leveraging data to extract effective insights. Here are some of the key areas where applications of data science are used:
- Healthcare: Data science has an effective impact on healthcare because it is used to predict disease diagnoses, treatment plans, and more. With the use of electronic health records and medical imaging data, Data scientists can develop models to identify the risk, give effective treatment advice, etc.
- Business Analytics: Data science is extensively used in analysing customer behaviour, market trends, and sales forecasts. By analysing data from various sources, organisations gain valuable insights and improve customer engagement.
- Marketing: Data science in marketing is essential as it enables advertising, customer segmentation, and sentiment analysis.
- Transportation: In transportation, data science is used for route optimisation, traffic management, predicting innovative methods to maintain, and more.Â
- Finance: Data science is essential in finance as it helps to develop models to predict market trends, identify frauds, and optimise investment strategies.Â
- Energy: Data science is increasingly used to optimise energy and demand response optimisations.
Also Read: Best Data Science Colleges In Delhi NCR 2024
What is artificial intelligence?
Artificial intelligence is a branch of computer science that aims to create systems capable of performing tasks that typically require human intelligence. This includes machine learning, computer vision, robotics, etc. AI aims to develop devices capable of sensing the surroundings, grasping the context, etc. Nowadays, AI is revolutionising numerous industries by enabling them to perform tasks that were once exclusive to humans, driving innovation and efficiency across various domains.
5 Applications of Artificial Intelligence
Artificial intelligence (AI) has a wide array of applications across various industries, each leveraging AI’s capabilities to enhance efficiency, accuracy, and innovation. Here are some prominent applications of AI:
- Healthcare: AI algorithms help in analysing medical images to determine diseases and abnormalities and help in developing treatment plans based on patients’ genetics, lifestyle, and other factors.Â
- Finance: AI systems help in monitoring transactions in real time and also help in fraud detection.
- Customer Service: With the use of AI chatbots, you get 24*7 services for handling common queries and issues without any human intervention.Â
- Manufacturing: AI systems inspect products for defects and inconsistencies, ensuring high-quality standards.
- Education: With the use of AI, the content can be tailored according to individual learning styles and pace, which will further improve student outcomes.Â
Also Read: Skill Needed to Build Artificial Intelligence
Key Differences between Data Science and Artificial Intelligence
Basis |
Data Science | Artificial Intelligence |
Definition |
Data science is an interdisciplinary field that uses techniques like statistical analysis, machine learning, and data visualisation to extract knowledge and insights from both structured and unstructured data. | Artificial intelligence involves programming machines to mimic human intelligence, allowing them to undertake activities that usually necessitate human cognitive abilities, including learning, solving problems, and making decisions. |
Purpose |
The purpose of data science is to utilise the findings and insights to make informed decisions. |
The major purpose of AI is to provide software capable enough to reason on the input and explain the output. |
Techniques Used | Statistical and data analytics techniques are used in data science. |
It includes concepts of machine learning and deep learning on various topics. |
Key Components |
Data collection, data cleaning, data analysis, machine learning, data visualisation. | Machine learning, deep learning, natural language processing, Robotics. |
Skills required |
Programming language, statistics concepts, knowledge of big data tools etc. | Programming language, knowledge related to mathematics, machine learning frameworks etc. |
Tools Used | SQL, R, and Python are some of the tools used in data science. |
Scikit Learn, TensorFlow, Caffe, Murf, and Bing AI are some of the tools used in AI. |
Job Roles |
Some of the most common job roles include: Data Scientist, Data Analyst, Data Engineer & Business Analyst |
Some of the most common job roles include: Research Scientist, Robotics Scientist, AI Engineer & Machine Learning Engineer |
Examples |
Some of the examples of data science are: Fraud Detection, Effective Campaign Management & Increases sales with the use of prediction of demand for future |
Some of the examples of AI are: Recommendations engines offering watch suggestions, Amazon suggestions for product catalogue |
Data Science and Artificial Intelligence Courses in India
India offers a wide variety of data science and artificial intelligence courses at different levels of education. Various universities and institutions offer these courses, catering to the growing demands of professionals in these fields.
Undergraduate Courses
B.Tech in Artificial Intelligence/Data Science
- The duration is of 4 years.
- The curriculum includes concepts of programming, machine learning, data analytics, AI techniques and various domain-specific applications.
B.Sc in Data Science/ AI
- The duration is of 3 years.
- The curriculum includes concepts of mathematics, programming, data management, machine learning and AI fundamentals.
BCA AI and Data Science
- The duration is of 3 years.
- The curriculum includes concepts of mathematics, programming, clean coding etc.
Postgraduate Courses
M.Tech/ME in Data Science/Artificial Intelligence
- The duration is of 2 years.
- The curriculum includes concepts of machine learning, deep learning, big data analytics etc.
M.Sc. in Data Science/ AI
- The duration is of 2 years.
- The curriculum includes advanced data analysis, statistical methods, AI techniques etc.
Diploma and Certification Courses
Various diploma and certification courses are also available to students. The maximum duration is 1 year, whereas, for certification courses, the duration varies from a few months to a year. The curriculum is a combined coverage of data science and AI techniques, machine learning, and more.
Data Science and Artificial Intelligence courses at KRMU
K.R. Mangalam University is a pioneer institution of higher education located in Gurugram, Haryana, established in 2013 under the Haryana Private University Act. KR Mangalam University is known for its excellence in interdisciplinary education and for its research and innovation that prepares students to become socially responsible and contribute to nation-building through their learning and skills.Â
At K.R. Mangalam University, the School of Engineering and Technology offers various courses in data science and artificial intelligence, which are listed below:
- Programme Name: B.Tech Computer Science and Engineering (AI & ML) with academic support of Samatrix and IBM
Duration: 4 YearsÂ
Eligibility Criteria: Passed 10+2 examination with Physics and Mathematics as mandatory course. For the remaining single course select any course from Chemistry/ Computer Science/ Electronics/ Information Technology/ Biology/ Informatics Practices/ Biotechnology/ Technical Vocational subject/ Agriculture/ Engineering Graphics/ Business Studies/ Entrepreneurship from any recognized Board/ University with a minimum of 50% aggregate marks.
- Programme Name: B.Tech. CSE (Data Science) with Academic Support of IBM
Duration: 4 YearsÂ
Eligibility Criteria: Passed 10+2 examination with Physics and Mathematics as mandatory course. For the remaining single course select any course from Chemistry/ Computer Science/ Electronics/ Information Technology/ Biology/ Informatics Practices/ Biotechnology/ Technical Vocational subject/ Agriculture/ Engineering Graphics/ Business Studies/ Entrepreneurship from any recognized Board/ University with a minimum of 50% aggregate marks.
- Programme Name: BCA (AI & Data Science) with academic support of Samatrix and IBM
Duration: 3 YearsÂ
Eligibility Criteria: Passed 10+2 or equivalent examination from any recognized board/university in any stream with a minimum of 50% aggregate marks.
- Programme Name: BCA (Hons. with research) (AI & Data Science) with academic support of Samatrix and IBM
Duration: 4 YearsÂ
Eligibility Criteria: Passed 10+2 or equivalent examination from any recognized board/university in any stream with a minimum of 50% aggregate marks.
- Programme Name: B.Sc.(Hons) Data ScienceÂ
Duration: 3 YearsÂ
Eligibility Criteria: Passed 10+2 or equivalent equivalent from any recognized board/university in any stream with Mathematics/ Statistics/Computer/Information Science as one subject with minimum 50% aggregate marksÂ
Conclusion
Data science and artificial intelligence have emerged as the pivotal fields driving innovation and transformation across industries. This article covers every aspect of both fields—data science and artificial intelligence—and how they are used interchangeably. In this rapidly evolving environment, both data science and artificial intelligence professionals are in high demand.
A career in data science may be appealing to you if you are interested in analysing data; however, if you are more inclined towards the idea of artificial intelligence, you would perform better in that sector. It depends on your interests.
Frequently Asked Questions
Is data science and artificial intelligence the same?
No, it is not the same, the main difference between data science and artificial intelligence is that data science is a vast field of research that encompasses AI. Artificial Intelligence is the sub-field of data science.
Is AI and Data Science the future?
Yes AI and data science are considered integral for the future and the dynamic environment. From healthcare to the entertainment sector AI and data science are playing an effective role.Â
What is machine learning?Â
Machine learning is a subset of AI that involves developing and designing algorithms that allow various computers to learn from and make predictions.
Recent Post
All India Forensic Science Entrance Test (AIFSET-2025) Details and Eligibility
Why KRMU is the Best College for BCom Hons. in Gurugram, Delhi NCR
Careers in Economics: Best Job Opportunities for Economics Graduates
Why K.R. Mangalam University Is The Best Fine Arts University in India
Is NTA CUET UG Score Mandatory For Admission In All Universities
Choosing The Best B Sc Courses After 12th: A Detailed Guide To Your Future
Data Science and Artificial Intelligence: Revolutionising the Digital Age
Exploring Top Career Options For Commerce Students After The 12th
List Of Top Law Course After Graduation: Degree/Diploma/Certificate
Exploring The Best Course After B Com To Elevate Future Prospects
The Difference between BE and BTech: Everything you need to know
Exploring Jobs After BSc Chemistry: Private And Government Jobs
B Pharmacy Admission Process 2024: Course Details/Eligibility/Career
What Are Some of The Best Professional Courses After 12th Class
Architecture Courses after 12th: Duration, Eligibility, Career Options
Why KRMU Is Considered One Of The Best BSc Agriculture Colleges In India?
A Complete Guide On Full Stack Development: Career Paths/Eligibility/Duration
BSc Agriculture Admission 2024: Eligibility/Career Paths, and Duration
Why KRMU Is Considered One Of The Best Hotel Management Colleges In India
Hotel Management Course Fees in Private College: What You Need to Know
Everything You Need to Know About Integrating Dual Degree Programs
Textile Design Course, Eligibility and Career Opportunities
Physiotherapy Course Fees: Career Paths/Eligibility Criteria/Top Colleges
Exploring BJMC Colleges in Delhi: Your Comprehensive Guide
Honours Degree vs Bachelor Degree: What’s the DifferenceÂ
A Comprehensive Guide B Pharm Duration, Syllabus, Job Opportunities
BCA Full Form And Subjects- Comprehensive Understanding Of BCA
Complete Guide of B Sc Agriculture Course Duration, Admission Process, Fees
A Detailed Guide On How To Become A Fashion Designer After 12th
Navigating Sustainability Trends: Preparing Students for Corporate Priorities in 2024
What Can I Do After a BA? Exploring Career Options for Bachelor of Arts Graduates
Marketing in the Metaverse: A New Frontier for Customer Engagement
List Of Top Career Options After B.Tech Computer Science & Engineering
How to Choose the Right 12th Commerce Courses for Your Salary?
K.R. Mangalam University: A Leading University For Comprehensive Excellence
Understanding BBA Travel & Tourism: A Gateway To A Thriving Future
Hotel Management Courses After 12th: Career/Eligibility/Subjects
A Journey through K.R. Mangalam University’s as a Student of B.A. Honours PsychologyÂ
Why Choose B Tech Cyber Security: Learn Eligibility/Benefits/Career/College
List of B.Tech Courses: Various Specialisations/Eligibility Criteria/Careers
Benefits of Pursuing An MBA After BA: Career/Specialisations/Entrance Exam
Essential Guide On KR Mangalam University Scholarship For 2024-25
Everything You Need To Know About Architecture And Design in 2024
Exploring the UX/UI Race in B.Tech. Computer Science & Engineering
Exploring the UX/UI Race in B.Tech. Computer Science & Engineering
The Rising Demand For Management Professionals In The Country
B.Tech Computer Science Course: Eligibility, Syllabus, Exams, Fees, Scope
Significance of B Tech Artificial Intelligence & Machine Learning
Exploring a BBA in Finance: Your Comprehensive Guide to a Promising Career Path
Compelling Reasons to Choose a BBA Program in Travel and Tourism
BA Political Science Honours: Your Path to Political Insight
Beyond Fashion Designing: Exploring the Creative World of B.A. Arts
Unlocking the Path to Success: Your Thriving Career in Cyber Security
Forensic Science Courses After 12th: Syllabus & Career Scope
Soaring to New Heights: Apeejay Professor Takes Flight as Certified Drone Flyer
D Pharmacy Course Details: Eligibility, Admissions & Subjects
The Art of Public Speaking: Tips for Confident Presentations
Advancing Your Career: Pursuing Diploma Courses After 10th Grade
Computer Science Engineering: Unraveling the Realm of Technology and Innovation
The Ultimate Guide to Choosing the Right Data Science Course for Your Career
Internship and Practical Training Opportunities for B.Com (Honours) Students
Exploring Career Scope of Pharmacology: A Promising Pathway
The Rise of Fintech: Revolutionizing India’s Financial Landscape
The Advancement Postgraduate Courses in India Career Development
Explore Bachelor of Business Administration and its Specializations
Mastering Time Management: A Key to Success in Work and Life
Understanding the Difference Between Psychologist and Psychiatrist
Career in Fashion Designing: Full Guide from Start to Destination
Empowering India’s Economic Prosperity: The Rise of Indian Startups
Diploma Course vs Degree Course: Exploring the Pros and Cons
Must Watch Movies and Web series For Forensic Science Student
Exploring a Career in Criminal Law: An In-Depth Guide to LLB Criminal Law
Unveiling the Role of a Supply Chain Analyst: A Path to Success
Comparing CSE and IT: Unveiling Distinctions and Career Opportunities
Exploring the Educational Landscape: Top Universities in Gurgaon
Architecture Course: Guide to Becoming an Architect in India
Traditional Marketing vs Digital Marketing: Exploring their Pros and Cons
The Basics of B Tech: What You Need to Know to Pursue a Degree in Technology
Is Pursuing MBA After Engineering an Excellent Career Choice
How To Become An Interior Designer in India: Qualification & Career Scopes
Exploring the Benefits of an International Accounting and Finance Course
BA LLB (Hons): A Comprehensive Guide to Understanding the Program
5 Full Stack Web Development Course Lessons from the Professionals
Training the future educators at the Best B.Ed College in Gurgaon
Gain Exceptional Business Expertise with Best B-School in Gurgaon
Best Undergraduate Courses to Study in India for a Promising Career
K.R. Mangalam University Admission Process 2023-24 Through KREE
Accelerate Your Career with Best University in Gurgaon for MBA
CTET 2023: Registration details for Central Teacher Eligibility Test
Develop Forensics Expertise with Best BSc Forensic Science Course in Delhi
Best Private Engineering College/University in Delhi NCR 2023
How to Choose a College or University: Key Factors to Count
Best BSc Hons Mathematics Scope: Career Options and Responsibilities
Best Courses After 12th Commerce – Professional Programmes & More
A Detailed Overview of Best Journalism Courses After 12th Grade
Career in Indian Gaming Industry: Rise to Billion-Dollar Market
BBA in International Business 2023: Eligibility, Jobs and Salary
Integrated BBA MBA Course Details, Eligibility and Career options
BBA LLB Hons: Admission, Eligibility, Subjects, Scope and Jobs
What should You Do after completing BA in Political Science (honors)
How to Build a Career as an Automotive Designer/Car Designer?
Why studying Machine learning is a good career option after 12th
Ultimate Guide to CAT Exam: Admit card, Exam Date, Syllabus and Preparations
Campus to Corporate Life: 7 Tips to Keep you Ahead in the Game
BA Honours in English: Course Details, Syllabus, Eligibility and Career Options
Career and Scopes after BCA with Artificial Intelligence and Data Science
Which Course Should I Choose After Completing 12th from Arts Stream
Why choose MCA: Course details, Eligibility, Benefits, Career Options and Salary
How to prepare for the CUET UG exam? Benefits, Syllabus and Study Material
Career, Scopes and Salary after B.Tech CSE with Specialisation in Cloud Computing
Career and Opportunities after completing your B.Tech Civil Engineering
What are the advantages of pursuing a B.Tech. in (CSE) with specialization in UX/UI
Are you planning to Pursue Integrated Course in B.Tech (CSE) with MBA?
Scopes & Benefits of B.tech Computer and Electronics Engineering
Top Career Options After Professional Diploma in Interior Design
Can a PCB Student do B.Tech in Computer Science Engineering in 2022
Why pursuing a BA (Hons.) – Chinese Degree can be a good choice for you?
Business Analytics–Build a Strong Career with this Course
Top Soft Skills That You Need to Develop for a Successful Career in 2022
Top Business Trends to Follow For a Successful Career In 2022
How to Build a Career in Stock Market in 2022 with Highest Paying Salary
B.Arch vs B.Des: Which Course to Choose for a Better Career?
How to Choose the Best Career Path: Machine Learning Engineer or Data Scientist
Top 20 Things Architects Can Do After B.Arch in India: A Must Read!
Get Better Job Opportunities with the Help of Top Colleges for MCA in Delhi NCR
K.R. Mangalam University Gears up to Sign MoU with Sputnik News Agency, Moscow
How Is Artificial Intelligence Shaping The Pharmacy Industry Of Today
How Has The Domain Of Journalism Evolved In The Digital World
The Emergence Of E-Commerce And E-Business In The Post-Pandemic World
How Is Digitalization Helping To Transform The Pharma Industry For The Better
The Role And Contribution Of Chemists In Improving The Overall Healthcare Scenario
5 Best Paying Jobs For Journalism & Mass Communicationgraduates
Clinical Psychology – Career Scope & Earning Potential In India
Challenges & Opportunities For Fashion Designers In The Post Covid World
The Invincible Role Of Medical & Allied Sciences Professionals Amid The Covid Crisis
The Emerging Role Of Information Technology In The Field Of Journalism
Indian Pharma Growing As The Largest Sector In Terms Of Employment & Revenue
The Importance Of Team Bonding For Management Professionals
Covid-19 Projects At KRMU: An Effort To Raise Awareness Among The Young Gen
Cybersecurity: A Much Sought-After Profession In Today’s Technology Oriented World
The Worth Of Industry-Vetted Management Training In 21st-Century Corporate World
Understanding The Twenty-First-Century Entrepreneurial Challenges
Why The World Of Fashion Needs Trendsetters Rather Than Followers?
Technological Trends Changing The Face Of Architecture Today
5 Significant Ways In Which The Industry Of Journalism Has Evolved Over The Years
Acquiring The Right Workforce Is The Key Requirement For Meeting Business Goals
The Vitality Of Application & Research-Based Learning For The 21st-Century Youth
The Need For Legal, Administrative & Judicial Reforms In India
How Will The Current Pandemic Change The Fashion Industry Worldwide?
Business Journalism – An Emerging Career Path For The 21st Century Youth
The Growing Use Of Business Analytics In Financial Services Industry
5 Reasons Why Studying Hotel Management Is A Great Choice In The Modern World
5 Tips For Beginners To Survive & Thrive In The Fashion Industry
Five Skills You Inevitably Need To Succeed As An Interior Designer
How Is The Advancing Technology Redesigning The Fashion Design Industry?
5 Myths About Human Resource Management That Need To Be Busted
Krmu – Preparing Future Architects With A Global Perspective
Top Technical Skills That Are Highly Demanded in The Modern Job Market
Soil Science – Career Potential & Opportunities In India And Abroad
Key Skills You Need To Thrive In The Domain Of Hotel Management
The Significance Of Critical Thinking In Financial Management
The Role Of KRMU ICC In Establishing A Safe & Secure Environment In The Campus
What It Takes To Grab The Best Jobs In The Fashion Design World?
K.R. Mangalam – Building A Generation Of Creative Fashion Designers
What Makes Project-Based Learning Imperative For The Youth Of Today
KRMU’s Engineering Kitchen Inspiring The Youth To Shape A New World Of Innovation
The Impact Of Technological Advancements On The Efficiency Of Business Professionals
Experiential Projects – An Effective Way To Deep Rooted Management Education
KRMU’s Corporate Connect Aiding Students To Prove Their Mettle
Learn The True Art Of Innovation & Entrepreneurship At KRMU’s TIIE
KRMU To Establish A fully Functional Robotics Lab In Collaboration With IITBombay
Explore Engineering Kitchen – An Excellent Initiative Taken By KRMU
5 Reasons Why You Should Pursue A Degree In Journalism And Mass Communication
Five Reasons That Make Business Management One Among The Top Professions For Future
The Impact Of Artificial Intelligence And Iot On The Management Industry
Diverse Engineering Branches That Have Always Maintained Their Worth
Career Options That Will Be High In Demand In The Next Decade
KRMU – Creating A Culture Of Knowledge, Entrepreneurship, And Management Skills
Effective Marketing Management Can Help To Raise The Overall Value Of A Business
How Do The International Collaborations Boost The Value Of A University?
5 Invaluable Steps For Building An Excellent Professional Network
Priceless Qualities A Successful Legal Practitioner Needs To Treasure
Better Grades, Less Stress At School Of Law, K.R Mangalam University,Gurugram
Aesthetic And Logic, The Conflict Between Religion And Humanism In 21st Century
Best Ways For MBA Aspirants To Upgrade Their Communication Skills
How To Know If Journalism Is The Right Career Option For You!
Tradition And Modernity Living Historical Quarters: Change And Continuity
Legal Profession One Of The Most Sought After Career Choices For Women Today
Dynamic Career Opportunities In Journalism Cultivated By Modern India
How Can Virtual Reality Help Pave Way For Transforming Architecture Education?
Top Questions Asked To Management Graduates In Placement Interviews
Wish To Make A Career In Ethical Hacking? Here’s All You Need To Know!
Future Career Perspectives Of Technical Education In India And Abroad
Why Is Personality Development An Utmost Need For Professional Success?
KRMU’S School Of Law – Strengthening The Legal Framework Of The Nation
The Importance Of Technology As A Teaching Aid In Higher Education
Top Business Lessons To Learn From Successful Businessmen From Across The World
Grooming The Students For The Current Trends In Medical And Allied Sciences
The Need For Skills Enhancement For The Competitive Corporate World
Tapping The Career Growth And Overseas Opportunities For Management Graduates
Significance Of Mentoring Programs Towards Holistic Development Of Students
KRMU – Delivering Education That Enables You To Lead The Competition
Data Science and Artificial Intelligence: Revolutionising the Digital Age
In today’s rapidly evolving digital landscape, data science and artificial intelligence (AI) are at the forefront of technological innovation. These powerful tools, from healthcare to finance, are revolutionising industries by enabling data-driven decision-making and automating complex processes. This blog will help explore how data science and artificial intelligence are transforming how we work, live, and interact with the world around us, shedding light on the unprecedented opportunities and challenges they bring.
What is Data Science?
Data science is defined as the study of data to extract meaningful insights for business. It is a separate field of work that deals with the management and processing of data using statistical methods, artificial intelligence, and various other tools in partnership with domain specialists. These insights can be used in extensive decision-making, strategic planning, and working. Data science plays a critical role in leveraging the vast amounts of data generated in the digital age to extract valuable insights and gain competitive advantages in numerous fields.
6 Applications of Data Science
The relevance of data science spans various industries and sectors, playing a pivotal role in leveraging data to extract effective insights. Here are some of the key areas where applications of data science are used:
- Healthcare: Data science has an effective impact on healthcare because it is used to predict disease diagnoses, treatment plans, and more. With the use of electronic health records and medical imaging data, Data scientists can develop models to identify the risk, give effective treatment advice, etc.
- Business Analytics: Data science is extensively used in analysing customer behaviour, market trends, and sales forecasts. By analysing data from various sources, organisations gain valuable insights and improve customer engagement.
- Marketing: Data science in marketing is essential as it enables advertising, customer segmentation, and sentiment analysis.
- Transportation: In transportation, data science is used for route optimisation, traffic management, predicting innovative methods to maintain, and more.Â
- Finance: Data science is essential in finance as it helps to develop models to predict market trends, identify frauds, and optimise investment strategies.Â
- Energy: Data science is increasingly used to optimise energy and demand response optimisations.
Also Read: Best Data Science Colleges In Delhi NCR 2024
What is artificial intelligence?
Artificial intelligence is a branch of computer science that aims to create systems capable of performing tasks that typically require human intelligence. This includes machine learning, computer vision, robotics, etc. AI aims to develop devices capable of sensing the surroundings, grasping the context, etc. Nowadays, AI is revolutionising numerous industries by enabling them to perform tasks that were once exclusive to humans, driving innovation and efficiency across various domains.
5 Applications of Artificial Intelligence
Artificial intelligence (AI) has a wide array of applications across various industries, each leveraging AI’s capabilities to enhance efficiency, accuracy, and innovation. Here are some prominent applications of AI:
- Healthcare: AI algorithms help in analysing medical images to determine diseases and abnormalities and help in developing treatment plans based on patients’ genetics, lifestyle, and other factors.Â
- Finance: AI systems help in monitoring transactions in real time and also help in fraud detection.
- Customer Service: With the use of AI chatbots, you get 24*7 services for handling common queries and issues without any human intervention.Â
- Manufacturing: AI systems inspect products for defects and inconsistencies, ensuring high-quality standards.
- Education: With the use of AI, the content can be tailored according to individual learning styles and pace, which will further improve student outcomes.Â
Also Read: Skill Needed to Build Artificial Intelligence
Key Differences between Data Science and Artificial Intelligence
Basis |
Data Science | Artificial Intelligence |
Definition |
Data science is an interdisciplinary field that uses techniques like statistical analysis, machine learning, and data visualisation to extract knowledge and insights from both structured and unstructured data. | Artificial intelligence involves programming machines to mimic human intelligence, allowing them to undertake activities that usually necessitate human cognitive abilities, including learning, solving problems, and making decisions. |
Purpose |
The purpose of data science is to utilise the findings and insights to make informed decisions. |
The major purpose of AI is to provide software capable enough to reason on the input and explain the output. |
Techniques Used | Statistical and data analytics techniques are used in data science. |
It includes concepts of machine learning and deep learning on various topics. |
Key Components |
Data collection, data cleaning, data analysis, machine learning, data visualisation. | Machine learning, deep learning, natural language processing, Robotics. |
Skills required |
Programming language, statistics concepts, knowledge of big data tools etc. | Programming language, knowledge related to mathematics, machine learning frameworks etc. |
Tools Used | SQL, R, and Python are some of the tools used in data science. |
Scikit Learn, TensorFlow, Caffe, Murf, and Bing AI are some of the tools used in AI. |
Job Roles |
Some of the most common job roles include: Data Scientist, Data Analyst, Data Engineer & Business Analyst |
Some of the most common job roles include: Research Scientist, Robotics Scientist, AI Engineer & Machine Learning Engineer |
Examples |
Some of the examples of data science are: Fraud Detection, Effective Campaign Management & Increases sales with the use of prediction of demand for future |
Some of the examples of AI are: Recommendations engines offering watch suggestions, Amazon suggestions for product catalogue |
Data Science and Artificial Intelligence Courses in India
India offers a wide variety of data science and artificial intelligence courses at different levels of education. Various universities and institutions offer these courses, catering to the growing demands of professionals in these fields.
Undergraduate Courses
B.Tech in Artificial Intelligence/Data Science
- The duration is of 4 years.
- The curriculum includes concepts of programming, machine learning, data analytics, AI techniques and various domain-specific applications.
B.Sc in Data Science/ AI
- The duration is of 3 years.
- The curriculum includes concepts of mathematics, programming, data management, machine learning and AI fundamentals.
BCA AI and Data Science
- The duration is of 3 years.
- The curriculum includes concepts of mathematics, programming, clean coding etc.
Postgraduate Courses
M.Tech/ME in Data Science/Artificial Intelligence
- The duration is of 2 years.
- The curriculum includes concepts of machine learning, deep learning, big data analytics etc.
M.Sc. in Data Science/ AI
- The duration is of 2 years.
- The curriculum includes advanced data analysis, statistical methods, AI techniques etc.
Diploma and Certification Courses
Various diploma and certification courses are also available to students. The maximum duration is 1 year, whereas, for certification courses, the duration varies from a few months to a year. The curriculum is a combined coverage of data science and AI techniques, machine learning, and more.
Data Science and Artificial Intelligence courses at KRMU
K.R. Mangalam University is a pioneer institution of higher education located in Gurugram, Haryana, established in 2013 under the Haryana Private University Act. KR Mangalam University is known for its excellence in interdisciplinary education and for its research and innovation that prepares students to become socially responsible and contribute to nation-building through their learning and skills.Â
At K.R. Mangalam University, the School of Engineering and Technology offers various courses in data science and artificial intelligence, which are listed below:
- Programme Name: B.Tech Computer Science and Engineering (AI & ML) with academic support of Samatrix and IBM
Duration: 4 YearsÂ
Eligibility Criteria: Passed 10+2 examination with Physics and Mathematics as mandatory course. For the remaining single course select any course from Chemistry/ Computer Science/ Electronics/ Information Technology/ Biology/ Informatics Practices/ Biotechnology/ Technical Vocational subject/ Agriculture/ Engineering Graphics/ Business Studies/ Entrepreneurship from any recognized Board/ University with a minimum of 50% aggregate marks.
- Programme Name: B.Tech. CSE (Data Science) with Academic Support of IBM
Duration: 4 YearsÂ
Eligibility Criteria: Passed 10+2 examination with Physics and Mathematics as mandatory course. For the remaining single course select any course from Chemistry/ Computer Science/ Electronics/ Information Technology/ Biology/ Informatics Practices/ Biotechnology/ Technical Vocational subject/ Agriculture/ Engineering Graphics/ Business Studies/ Entrepreneurship from any recognized Board/ University with a minimum of 50% aggregate marks.
- Programme Name: BCA (AI & Data Science) with academic support of Samatrix and IBM
Duration: 3 YearsÂ
Eligibility Criteria: Passed 10+2 or equivalent examination from any recognized board/university in any stream with a minimum of 50% aggregate marks.
- Programme Name: BCA (Hons. with research) (AI & Data Science) with academic support of Samatrix and IBM
Duration: 4 YearsÂ
Eligibility Criteria: Passed 10+2 or equivalent examination from any recognized board/university in any stream with a minimum of 50% aggregate marks.
- Programme Name: B.Sc.(Hons) Data ScienceÂ
Duration: 3 YearsÂ
Eligibility Criteria: Passed 10+2 or equivalent equivalent from any recognized board/university in any stream with Mathematics/ Statistics/Computer/Information Science as one subject with minimum 50% aggregate marksÂ
Conclusion
Data science and artificial intelligence have emerged as the pivotal fields driving innovation and transformation across industries. This article covers every aspect of both fields—data science and artificial intelligence—and how they are used interchangeably. In this rapidly evolving environment, both data science and artificial intelligence professionals are in high demand.
A career in data science may be appealing to you if you are interested in analysing data; however, if you are more inclined towards the idea of artificial intelligence, you would perform better in that sector. It depends on your interests.
Frequently Asked Questions
Is data science and artificial intelligence the same?
No, it is not the same, the main difference between data science and artificial intelligence is that data science is a vast field of research that encompasses AI. Artificial Intelligence is the sub-field of data science.
Is AI and Data Science the future?
Yes AI and data science are considered integral for the future and the dynamic environment. From healthcare to the entertainment sector AI and data science are playing an effective role.Â
What is machine learning?Â
Machine learning is a subset of AI that involves developing and designing algorithms that allow various computers to learn from and make predictions.
Recent Post