Introduction
There is a growing demand for professionals & individuals who understand and have the expertise in Artificial Intelligence (AI) and Machine Learning (ML). With exponentially growing volumes of information collected and data stored throughout the world, there is no second thought that the data is becoming an increasingly valuable asset for any & every organisation.
Data collection is only helpful once you do something with it, yet this vast volume of information is too much to handle without the assistance of automated systems. Organisations can extract value from enormous volumes of data they gather and offer business insight using artificial intelligence and machine learning.
Therefore, the generation of data will always continue; tons of data is being formed each minute to utilise the data, and as of now, fewer professionals are in the market. So, there is a huge demand for professionals in the market with expertise in AI ML.
Scope of Artificial Intelligence and Machine Learning
Many positions are lying vacant to be filled by AI ML professionals, and fewer people with expertise in it. There are various fields open with the application of AI ML. Learning by machine Combining artificial intelligence and deep learning is highly beneficial since they provide significant value to many business processes and give excellent employment chances.
Worldwide market revenues for artificial intelligence are expected to expand dramatically between 2018 and 2030. IDC( https://www.idc.com/) states that the global AI market will be valued at more than $500 billion by 2024.
As per the preliminary estimates that the industry will be valued at more than $1.5 trillion by 2030. As available over internet & the data provided by Statista (https://www.statista.com/), rises in AI company acquisitions have been accompanied by rises in AI startup investment – global funding has gone from more than a billion US dollars in 2013 to 8.5 billion US dollars in the first quarter of 2020 alone.
Undergraduate AI ML programmes/degrees/courses
B.C.A.- A. I. Data Analytics
- 12th passed or equivalent in any stream with at least 45% in aggregate or as per UGC/State Govt present norms.
The Bachelor of Computer Application with Specialization in AI & Data Science is a comprehensive three-year undergraduate program. The BCA program is designed to enable students with in-depth knowledge of Big Data Analytics and the significant role that Artificial Intelligence plays in driving its growth.
They will delve into subjects such as Java, Net Frameworking, Data Warehousing, Data Mining, Mobile Application Development, and data handling. This diverse curriculum enables the students with all the necessary skill sets and knowledge to analyze and extract valuable insights from vast amounts of data.
The program aims to develop exceptional understanding and expertise among students, enabling them to transform ideas into practical solutions.
At LNCTU, we believe in religious training and industry based exposure and experience, ensuring that all our students are well-prepared to work with advanced systems and technologies of the modern era. This also ensures amazing placements at our university.
Overall, with specialisation in AI & Data Science offers a holistic learning experience, empowering students to move through the complexities of the field and make significant contributions in the realm of AI and Data Science.
B.C.A.- Data Science
- 12th passed or equivalent in any stream with at least 45% in aggregate or as per UGC/State Govt present norms.
BCA Data Science is a three-year undergraduate degree program that delves into computer and mathematical sciences. This is an advanced programme for candidates who wish to pursue a career in advanced technologies .This course offers an in-depth study of Data Science and software application subjects, enabling students to gain extensive knowledge in these fields.
To pursue BCA Data Science, students must have successfully completed their 10+2 education from a recognized Board with a minimum score of 50%, with Mathematics being a major subject. Generally, admission to this course is based on the candidate’s performance in entrance exams like ACET, KL, CET exams. In a few universities you can have a merit based admission too.
Upon completing the course, graduates have various job prospects in esteemed positions such as Machine Learning Engineer, Data Scientist, Business Analyst, and more. Prominent companies like Deloitte, Amazon, Accenture, LinkedIn, and others actively recruit professionals with expertise in these domains. The initial salary on an average for a BCA Data Science graduate usually falls within the range of INR 5,00,000 to INR 8,00,000.
B.Tech.- CSE Artificial Intelligence & Machine Learning (AI ML)
- 12th with PCM and through All India Test Exam.
BTech Artificial Intelligence and Machine Learning is primarily a four-year undergraduate degree program offered in the Engineering stream. Its main objective is to provide students with the necessary skills to write code for machines. This code serves as a set of instructions that guide machines to perform tasks with minimal human intervention. To effectively communicate with machines, students learn specific languages that machines understand. Throughout the program, students are taught various computer languages like Prolog, Lisp, JAVA, and Python, enabling them to input instructions into machines.
In the initial semesters, students pursuing BTech Artificial Intelligence and Machine Learning also study Mathematics and Physics in modular forms. These subjects lay a strong foundation for the core principles of AI, which become the central focus of the program as it progresses.
B.Tech.-CSE-Data Science
- 12th with PCM and through All India Test Exam.
B.Tech. CSE Data Science offers students a world of possibilities to specialise in the field of Data Science. It opens doors to rewarding careers as Data Scientists, where graduates can showcase their passion for developing sustainable solutions that meet the ever-evolving needs of data analysis and scientific applications. They have the unique ability to adapt to technological advancements through continuous learning and innovative thinking, playing a crucial role in driving the industry forward.
This program enables the candidate with comprehensive knowledge and skills in Data Science, empowering them to thrive in today’s data-driven world. The pursuer have a multiple career opportunities to explore, where they can apply their expertise and make a real impact. In this field of Data Science the it is a vibrant and dynamic environment for graduates to contribute their talents and shape the future of data-driven innovation as this is the future; data is gold.
M.C.A.- A.I M.L.
- BCA in Computer Science
Artificial Intelligence and Machine Learning (AI & ML) are fascinating fields within computer applications that focus on creating intelligent systems or machines capable of mimicking human behaviour and cognitive abilities. They enable machines to operate using either data alone or in conjunction with specifically designed programs and algorithms. AI finds its application in various domains, such as online gaming, customer support chatbots, robots, intelligent humanoid assistants like Siri, and many other areas that leverage artificial intelligence technologies.
Machine Learning, a subfield of AI, involves using data to derive insights and make predictions or informed decisions based on past information.
The curriculum and teaching methodology of the program strike a fine balance between theoretical foundations and hands-on practical experience. Students actively engage in projects, internships, industrial visits, expert interactions, and technical workshops to gain a comprehensive understanding of the subject matter. Important concepts, such as Python, Panda, and Scikit, are thoughtfully explained through immersive lab sessions, and regular doubt-clearing sessions ensure that students have a solid grasp of the material.
By delving into these areas, students are well-prepared to tackle the complexities of the AI and ML industry and contribute meaningfully to advancements in the field.
M.C.A.- Data Science & Visualization
- BCA in Computer Science
The sheer volume of data being generated today exceeds the capabilities of traditional methods.
Data engineering plays a vital role in the world of big data. Although data engineering may not always be visible in the data science process, it is undeniably essential. Without it, businesses would struggle to manage the influx of data and obtain reliable insights from their analyses.
The MCA program emphasises hands-on skills in Python programming and its associated libraries, statistical analysis of data, and concepts of linear algebra. The primary focus is to develop expertise in data analysis concepts. Industry statistics reveal a range of in-demand job profiles in the field of data science and data analysis.
Conclusion
In today’s data-driven society, businesses recognize the tremendous value of data and the necessity of skilled individuals who can unlock its potential.
This often overlooked aspect is a crucial part of the data science process. Without data engineers, organisations would struggle to manage overwhelming data flows and generate practical insights.
The Bachelor of Computer Application (BCA) program with a specialisation in AI & Data Science offers a comprehensive three-year undergraduate curriculum. Students gain both theoretical knowledge and practical skills in subjects such as Java, Net Frameworking, Data Warehousing, and Data Mining. This diverse range of courses equips students with the necessary expertise to analyse and extract valuable insights from large datasets. There are indeed other programs available in the field of data science, AI ML, such as B.Tech (Bachelor of Technology) in Data Science, AI ML.
At LNCTU, we place a strong emphasis on hands-on education and industry experience to ensure that our students are well-prepared to work with advanced systems and technologies. This approach also provides excellent placement opportunities for our graduates.
This often overlooked aspect is a vital part of the data science process. Without data engineers, organisations would face challenges in managing overwhelming data flows and generating actionable insights.
The future of AI and ML holds great promise, with abundant job prospects across various industries. The global AI market is projected to experience significant growth, surpassing a valuation of $500 billion by 2024. This trend highlights the increasing demand for skilled professionals in AI and ML, making it an appealing career choice.
Our MCA programs in AI & ML and Data Science & Visualization further enhance students’ skills in Python programming, statistical analysis, and data visualisation. These programs provide students with a strong foundation to tackle the evolving challenges and advancements in these fields.
To sum up, specialising in AI, ML, and Data Science offers exciting career prospects in an era where data holds immense value. By embracing these fields, individuals can contribute to technological advancements and shape the future of innovation.
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