Scope of AI & Data Science after online MCA

AI and data science have quickly emerged as indispensable tools in the global technological landscape. Individuals and organizations are increasing their dependency on their usage for various useful processes like gathering valuable insights from large and complex data sets, automating repetitive processes, and gaining inspiration for creativity and innovation. 

This inevitably increases the demand for skilled talent in the AI and data science industries to effectively drive processes using these technologies. MCA or Master of Computer Applications serves as a strong foundation for students keen on entering these domains. Interestingly, the course can be pursued online as well and offers an equally profitable scope for students in terms of career growth. Let us look at the potential AI and Data Science opportunities that are likely to open up for MCA graduates.

You may also like to learn about how to stay relevant in the age of Artificial Intelligence 

Scope of AI & Data Science in Today’s World

Both AI and data science are considered key components that play a vital role in solving complex problems and driving innovation across industries. Data science enables professionals in varied domains to find solutions to real-world problems using data-driven tools and techniques. Both AI and data science also work in partnership to revolutionize how organizations offer services to their customers. Personalized recommendations based on purchase history and predictive personality assessments of customers are a few examples of how AI and data science tools are facilitating the growth of e-commerce platforms.     

Let us look at a few more ways in which AI and data science are transforming business operations, customer experiences, and decision-making processes:

Automating routine tasks:

Automation of time-consuming, repetitive, and monotonous tasks frees up bandwidth for humans to concentrate on more valuable tasks at hand, such as ideation or execution of complex yet effective processes to improve overall business efficiency. Examples of repetitive tasks include customer support queries or data entry operations that can be effectively handled by AI.

Predictive analytics helps decision-making:

AI and data science can help predict customer preferences based on past purchase patterns and trends using data set analysis. This can largely help brands and companies make informed decisions regarding the launch of products and services that best align with customer needs and preferences. 

Enhanced customer support:

Handling customer queries has become fairly easy for companies, thanks to AI chatbots that can effectively provide instant responses to queries and also handle complaints/grievances promptly.

Personalized experiences for customers:

AI algorithms are better able to determine individual customer requirements and using customer data can also propose targeted marketing campaigns. These customized services help customers enjoy personalized shopping experiences and are also an important step in long-term customer loyalty. 

Also read: AI glossary: 25 artificial intelligence terminologies that you should know

Career Opportunities After Online MCA in AI & Data Science

Now that we know how AI and data science work hand in hand to support organizational efficiency and provide a wholesome experience to customers, let us now look at some of the lucrative career prospects in AI and data science. These prospects are likely to enhance after pursuing an online MCA degree in these subjects. 

There is an extensive demand for skilled AI and data science professionals in industries like healthcare, finance, marketing, and cybersecurity. Some of the top AI & data science roles after MCA graduation are listed below:

• Machine Learning Engineer: They develop and design machine learning (ML) systems, conduct experiments, and execute the appropriate ML algorithms.

Average annual salary (approx): INR 10,22,496 per annum

• Data Scientist: They are responsible for developing algorithms for commanding instructions and models that support machine learning programs.

Average annual salary (approx): INR 971,043 per annum

• AI Researcher: They are involved in the deployment of AI models, conducting research and experiments to test various hypotheses in varied AI domains, and designing new AI algorithms for speech recognition and anomaly detection.

The average annual salary (approx): INR 9,56,000 per annum

• Business Intelligence Analyst: They manage the analysis and retrieval of data within an organization. BI analysts collaborate with various teams to identify data insights, create reports, and communicate findings. 

Average annual salary (approx): INR 9 lakh per annum

• Data Analyst: They are responsible for collecting and interpreting data to find solutions for complex problems and enable organizations to make informed decisions.

Average annual salary (approx): INR 6 lakh per annum

• Robotics Scientist: They build, design, and test robots, and are also involved in monitoring and optimizing their performance for overall improved efficiency. 

The average annual salary (approx): INR 5,48,786 per annum

Skills and knowledge gained from online MCA relevant to AI & Data Science

Now that we understand the value of AI and data science roles in the industry and the likely incomes that these roles can generate for professionals, let us take a quick look at some of the vital skills that these professionals need to function in the industry.

The curriculum designed for an online MCA program provides students with a strong foundation in some of the most essential AI and data science roles in various domains. These include:

• Programming 
• Algorithms 
• Database management
• Data analysis
• Statistical modeling 
• Machine learning 

Also note that courses in statistics, mathematics, and artificial intelligence, which can be pursued within the online MCA program curriculum, equip students with handy skills that can be directly applied to AI and data science projects while working in the industry. Mathematics provides the foundation for AI models and algorithms, while statistics is essentially used in data analytics, helping to identify trends and patterns in data sets. 

Advanced Technologies in AI & Data Science

To make further progress on your career path, it is a good idea to incorporate some advanced skills and knowledge in the domains of AI and data science. In this regard, upskilling yourself with some of the following emerging technologies within the AI and data science area after graduating with an MCA can help you take the next step on your career trajectory: 

• Deep learning 
• Natural language processing 
• Computer vision
• Reinforcement learning
• Big data and analytics
• Edge AI
• Quantum machine learning
• Federated learning 

These newly evolving technologies are shaping the future of AI and data science and creating new opportunities for innovation across industries. For instance, Deep Learning enables intelligence and automation, while Computer Vision facilitates visual data interpretation, which in turn helps in the development of AR and VR applications for training, education, and entertainment purposes.

Learn more about how online MCA is a flexible and affordable path to a tech career

Take your career forward with Online Manipal

If you are ready to take the next big leap in your career in the world of emerging technologies, an online MCA degree in AI and data science can help. The course is offered by Manipal University Jaipur, a NAAC-accredited university on the Online Manipal platform. The program is designed to offer specialized skills in cloud computing, AI and data science, and cybersecurity, equipping students with the desired knowledge base for career progression. 

Conclusion

An online MCA degree from Manipal University Jaipur is your answer to upskilling in your career and unlocking opportunities in AI & data science. The course also entitles you to unlock CTCs and put you at the forefront of your career path. Given the growing AI & data science job market, it is only wise to consider pursuing an MCA, and doing it online adds the advantage of comfort and flexibility in learning. Online MCA from the Online Manipal platform is also affordable and perfectly at par with a conventional campus degree. 

References: 

https://medium.com/@vickyshankar.m123/driving-innovation-through-data-science-unlocking-potential-across-industries-f538dd65c373#:~:text=By%20studying%20data%20science%2C%20individuals%20have%20the%20opportunity%20to%20contribute,and%20driving%20positive%20social%20impact.