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The Scope of B. Tech. In Artificial Intelligence and Data Science for Future Pathways

July 31, 2024 - 2:45
The Scope of B. Tech. In Artificial Intelligence and Data Science for Future Pathways

The rise of Artificial Intelligence and Data Science has revolutionised everything from healthcare and finance to entertainment and social media. But with this transformation comes a crucial question: how do we make use of the potential of data and intelligent systems?

A B. Tech. in Artificial Intelligence & Data Science equips you with the skills to navigate this new discipline. This highly sought-after degree program has the ability to bridge the gap between computer science and statistical analysis, empowering graduates to extract meaning from vast datasets and build intelligent systems that can learn and reason.

In this blog, we will explore various aspects of the B. Tech. program in AI & DS at Amrita Vishwa Vidyapeetham. We will cover the admission process, career opportunities, top recruiters in the field, and the B. Tech. Artificial Intelligence and Data Science scope for higher studies and research after graduation. 

How B. Tech. in ArtificiaI Intelligence and Data Science Can Secure Your Future Career

Over the years, Artificial Intelligence has made its way into every sector, creating numerous job opportunities. This surge in AI and Data Science is reflected in the top colleges now offering specialised courses in these fields. As a result, earning a B. Tech. in Artificial Intelligence & Data Science has become a future-proof investment in your career.

But beyond the practical benefits, this path offers a unique blend of intellectual challenge, creative problem-solving, and the potential to make a real-world impact. Here are some of the reasons why a B. Tech. in AI & DS might be the perfect choice for you:

  • AI and DS are constantly evolving, pushing the boundaries of what’s possible.
  • The curriculum equips you with a powerful combination of technical and analytical skills. You’ll master programming languages like Python and R, understand machine learning algorithms, and gain expertise in data visualisation and communication.
  • The demand for AI and DS professionals cuts across industries. 
  • A B. Tech. in AI & DS equips you with the tools to tackle complex problems with data-driven solutions. You’ll learn to analyse vast datasets, identify patterns, and develop intelligent systems that can make informed decisions.
  • By pursuing this degree, you’ll gain the skills to contribute to advancements in areas like healthcare, climate change, and social good.

If you’re passionate about technology, fascinated by data, and eager to make a difference, a B. Tech. in Artificial Intelligence & Data Science could be the perfect launchpad for your future. With its blend of intellectual rigour, career prospects, and the potential to shape a better tomorrow, this degree program guarantees a profoundly enriching academic experience.

Admission Process for B. Tech. in Artificial Intelligence and Data Science

At Amrita Vishwa Vidyapeetham, we offer a 4-year B.Tech. program in Artificial Intelligence and Data Science with a specialisation in medical engineering. This multidisciplinary program imparts you with expertise in AI, computer science, medical engineering, and medical biology, preparing you to smoothly transition into an MBBS degree if desired.

The three majors you can opt for include Artificial Intelligence-Data Science (AI-DS), AI-DS (Medical Engg), and CSE-AI. The admission process at Amrita involves:

  • Entrance Exam: Candidates must appear for entrance exams such as Amrita Engineering Entrance Examination (AEEE) or JEE Main.
  • Application Process: Candidates need to fill out the application form available on the official website.
  • Interview and Seat Allotment: Based on entrance exam scores, candidates are called for counselling sessions where they can select their preferred branch and campus.

What Comes After B. Tech. in Artificial Intelligence and Data Science: Career Opportunities

A B. Tech. in Artificial Intelligence & Data Science opens doors to a multitude of exciting careers. Here’s a glimpse into some of the most sought-after opportunities you can pursue after graduation:

  1. AI Engineer

An AI engineer specialises in developing and implementing artificial intelligence models and algorithms. Their work includes creating machine learning models, optimising AI systems, and ensuring seamless integration with existing technologies.

  1. Business Intelligence Strategist

A business intelligence strategist transforms data into actionable business insights. Their role involves designing and implementing BI strategies, utilising advanced analytics, and developing dashboards and reports that support decision-making processes.

  1. Data Scientist

A data scientist is an expert at extracting crucial insights from data. Their responsibilities often include conducting predictive analysis and employing machine learning and related techniques to analyse data.

  1. Data Mining Engineer

A data mining engineer excels at extracting valuable patterns and knowledge from large datasets. Their responsibilities include developing algorithms, implementing data mining techniques, and ensuring data integrity throughout the process.

  1. Machine Learning Engineer

A machine learning engineer combines data science and artificial intelligence to enable robots and systems to perform specific tasks. This role requires strong computer programming skills. Machine learning engineers create algorithms that allow computers to learn and execute tasks independently, without the need for explicit programming or instructions.

  1. Database Administrator

A database administrator is responsible for managing and maintaining an organisation’s database systems. This role requires expertise in database management, security, and performance optimisation.

  1. Data Architect

A data architect designs and manages an organisation’s data infrastructure, ensuring it supports business objectives and growth. This role involves developing data models, defining data standards, and optimising database structures for performance and scalability.

  1. Statistician

A statistician specialises in analysing and interpreting data to uncover patterns, trends, and relationships. Statisticians provide valuable insights that inform business strategies, policy decisions, and scientific research.

  1. Business Analyst

A business analyst plays a crucial role in analysing organisational data to derive insights and inform strategic decisions. This role involves gathering and interpreting data from various sources, identifying business trends, and recommending solutions to improve efficiency and profitability.

  1.  Data and Analytics Manager

A data and analytics manager oversees the strategy and execution of data management and analytics initiatives within an organisation. 

  1.  Data Journalist

A data journalist combines journalism with data analysis to uncover and report compelling stories from large datasets.

  1.  Deep Learning Engineer

A deep learning engineer specialises in designing and implementing advanced neural networks and deep learning models. This role requires expertise in machine learning, neural network architectures, and optimisation techniques.

  1.  Data Analyst

A data analyst plays a crucial role in interpreting and analysing data to extract valuable insights that help make informed business decisions. This involves collecting, cleaning, and transforming data into understandable formats and utilising statistical techniques to identify trends and patterns

  1.  Data Engineer

A Data Engineer focuses on designing, constructing, and maintaining the architecture and infrastructure needed for data generation, storage, and processing.

  1.  NLP Engineer

An NLP (Natural Language Processing) Engineer specialises in developing algorithms and models that enable computers to understand and interpret human language. NLP engineers play a crucial role in advancing AI technologies that facilitate human-computer interaction and automate language-based tasks.

  1.  Big Data Engineer

A big data engineer specialises in designing, implementing, and managing large-scale data processing systems. This role involves developing distributed computing architectures, optimising data pipelines, and ensuring the scalability and reliability of big data infrastructure.

Top Sectors for B. Tech. in AI and Data Science Graduates

Graduates of B. Tech. programs in Artificial Intelligence are well-equipped to start careers in this fast-evolving technology. This course emphasises software development and engineering, providing students with a strong foundation for entering the technology sector. Indian B. Tech. graduates specialising in Artificial Intelligence and Data Science have diverse career prospects across various sectors, including:

  • Healthcare
  • Business enterprises
  • E-commerce platforms
  • Social networking companies
  • IT consulting firms
  • Defence organisations
  • Educational institutions
  • Railway and transportation sectors
  • Manufacturing industries

These sectors offer expanding opportunities for B. Tech. graduates in AI and DS.

Higher Education and Research Prospects After B. Tech. in AI and DS

After completing a B. Tech. in Artificial Intelligence (AI) and Data Science (DS), graduates have many opportunities for further education and research. 

Advanced studies such as specialised Master’s programs and PhDs help gain deeper knowledge about AI algorithms, machine learning, and big data analytics. These paths not only enhance expertise but also open doors to impactful research in areas like healthcare, finance, and autonomous systems. 

Additionally, specialised certifications and industry collaborations offer practical skills and real-world experience, while entrepreneurship opportunities enable graduates to innovate and lead in the evolving tech landscape.

How Amrita Vishwa Vidyapeetham Help You Launch a Career in AI & DS?

At Amrita Vishwa Vidyapeetham, our B. Tech. program in AI & DS is devised to prepare students with the skills and knowledge necessary to thrive in these dynamic domains. We emphasise hands-on learning through industry projects, internships, and workshops, conducted in collaboration with leading organisations. This exposure allows students to gain insights into industry practices, network with professionals, and build a portfolio of practical experience, enhancing their employability upon graduation.

To facilitate a smooth transition of the students from academia to industry, we offer comprehensive career guidance and placement support through a dedicated placement cell.

Invest your education in a future-ready career at the top-ranked university, Amrita Vishwa Vidyapeetham. With a detailed curriculum, world-class infrastructure, industry integration, expert faculty, career support, and a strong alumni network, we make sure our students excel in the fast-evolving fields of Artificial Intelligence and Data Science.

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