Your complete guide to an online MCA in AI & ML

Artificial intelligence (AI) and machine learning (ML) are some of the most impactful phenomena of this century, bringing innovation across industries. AI programs machines to emulate human intelligence. ML aims to create algorithms that offer systems the ability to learn and alter their behavior without being programmed. Collectively, they drive solutions like self-driving vehicles, voice-activated assistants, tailored recommendations, and predictive modeling.

Firms seek to implement AI and ML to improve operations, profitability, and consumer satisfaction. The market for artificial intelligence will be $200 billion by 2025, and hence, there will be a growing need for professionals well-versed in AI and ML development, integration, and maintenance. Thus, signing up for MAHE’s online MCA in AI & ML is a good choice to learn about these growing technologies.

Pursuing an online MCA offers unmatched flexibility. It allows learners to attend classes at their convenience. The program’s industry-relevant curriculum emphasizes practical skills in emerging technologies delivered through simulative labs and real-world assignments. With a cost-efficient online platform, learners save on travel expenses while advancing their careers. Let’s learn more about this program in this blog.

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Online MCA in AI & ML: An overview

The online MCA AI & ML from Manipal Academy of Higher Education (MAHE) combines academic rigor with practical learning. Here’s a quick overview:

Parameter	Details
Program name	Online MCA specializing in AI & ML
Duration	2 years (4 semesters)
Delivery mode	Online
Key features	Real-world projects, industry partnerships, flexible learning schedules
Accreditation	UGC-approved
Eligibility	Bachelor’s degree in computer applications, IT, or another equivalent subject with a minimum aggregate score
Fees	INR 2,20,000

Core subjects in online MCA in AI & ML

The MCA artificial intelligence course online course is designed to groom students in AI fundamentals. Expert systems, autonomous systems, and intelligent agents are some of the items that learners learn through real-world applications. Explained below are the AI ML MCA online program details and subjects:

• Machine Learning Algorithms

This topic explores various machine learning approaches, including supervised, unsupervised, and reinforcement learning. It covers areas such as regression, classification, clustering techniques, development approaches, and predictive modeling.

• Deep Learning

This insightful module examines neural networks and their uses. Students learn about topics such as CNNs, RNNs, GANs, NLP, and computer vision.

• Big Data Analytics

This subject teaches how to utilize tools and frameworks such as Hadoop and Spark to process and analyze big data volumes. Students learn to handle structured and unstructured data and extract useful information from it.

• Computer Vision

This module deals with image and video processing. Some of the areas discussed include object detection problems such as facial recognition, image segmentation, and the use of images in autonomous vehicles and the health sector.

• Robotics and Automation

This subject concentrates on the robotics area of AI and provides learners with knowledge about creating AI systems that can be used to control machines and manufacturing and servicing robots.

• Natural Language Processing (NLP)

This subject centers on the ability to make machines comprehend and produce natural language. Learners learn about applications such as chatbots, sentiment analysis, language translation, and speech recognition.

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• Cloud Computing

This subject covers how to use technologies such as AWS, Google Cloud, and Microsoft Azure to deploy resilient models and manage big data.

• Ethical Artificial Intelligence

This subject focuses on the moral issues regarding the practical application of AI in various sectors of society.

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Course duration of online MCA in AI & ML

The online MCA in AI & ML program is structured as a two-year postgraduate course divided into four semesters. Each semester focuses on progressively advanced topics, ensuring a seamless transition from foundational computer science concepts to specialized knowledge in AI and ML.

Program Timeline

1. First Year:
   1. Core foundational subjects in computer science, mathematics, and programming
   2. Introduction to AI and ML concepts
   3. Basic tools and techniques used in data analysis and software development
2. Second Year:
   1. Specialized subjects in AI and ML, including deep learning, computer vision, and natural language processing
   2. Advanced topics like robotics, automation, and cloud computing for AI
   3. Capstone project focusing on real-world AI and ML applications

Key Highlights of the Course Duration

• Total Duration: 2 years (4 semesters)
• Effort Per Week: Typically 15–20 hours, depending on the course load
• Assessment Schedule: Regular assessments, assignments, and project evaluations each semester

When can I choose AI & ML specialization?

Students typically choose their specialization during the third semester of the program. This allows them to establish a solid foundation in programming, data structures, and algorithms before diving into the complexities of AI and ML.

Eligibility criteria for online MCA in AI & ML

To enroll in this program, applicants must meet the following criteria:

1. A bachelor’s degree in computer applications, IT, or a related field with a minimum aggregate score
2. Mathematics as a subject at 10+2 or graduation level
3. Proficiency in English

Key skills learners can earn from MCA in AI & ML

An online MCA specializing in AI and ML equips learners with in-demand skills such as:

• Programming Expertise: Fluency in Python, R programming languages, and TensorFlow
• Problem-Solving Abilities: Critical thinking skills to address practical problems
• Data Analysis: Methods of inferring information from large data volumes
• AI Model Development: Developing and teaching AI for different purposes
• Ethical AI Practices: Exploring the ethically related implications of implementing artificial intelligence solutions

Check out the curriculum of online MCA.

Career opportunities after MCA in AI & ML

An MCA in AI & ML opens doors to high-demand roles in various industries.

1. Machine Learning Engineer: Develop algorithms for predictive analytics and recommendation systems.
2. AI Specialist: Design AI solutions for virtual assistants, robotics, and intelligent applications.
3. Data Scientist: Analyze large datasets to uncover patterns and drive decision-making.
4. Business Intelligence Analyst: Use AI tools to interpret business data and enhance operations.
5. Deep Learning Engineer: Work on neural networks for tasks like image recognition and speech synthesis.
6. AI Research Scientist: Research to create advanced AI algorithms and models.
7. Robotics Engineer: Build intelligent robots for automation in manufacturing and healthcare.
8. NLP Engineer: Develop tools for language translation, chatbots, and sentiment analysis.

Salary for MCA in AI & ML graduates

Job Role	Average Salary (INR)	Future Scope
Data Scientist	10–15 LPA	High demand in sectors like healthcare and e-commerce
Machine Learning Engineer	8–12 LPA	Core role in AI development teams
AI Research Scientist	15–25 LPA	Advanced roles in R&D departments
Business Intelligence Analyst	6–10 LPA	Critical for strategic decision-making
Robotics Engineer	8–14 LPA	Growing opportunities in automation industries

Source

Why should you pursue an online MCA in AI & ML?

• Flexibility: Learn at your own pace while balancing work and personal commitments.
• Cost-effective: Save on commuting and accommodation expenses.
• Industry-relevant curriculum: Gain skills aligned with current market trends.
• Networking opportunities: Collaborate with peers and industry experts globally.
• Access to resources: Utilize online libraries, virtual labs, and live project mentorship.

Conclusion

An online MCA specializing in AI and ML allows the flexibility of learning along with working and enables individuals to lead the change and core of AI businesses. Regardless of whether your goal is to pursue a career in artificial intelligence and machine learning or contribute to groundbreaking innovations, this degree will get you there. So, enroll for an MCA in AI & Ml at MAHE and open the door to an infinity of new jobs and the future of technology.

Scope of AI & Data Science after online MCA