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Online MCA in Data Science: Course Details, Fees, Eligibility & Career

Online MCA in Data Science
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In this hi-tech generation where data has more value than anything, when we use mobile applications or browse over websites, even when we purchase something, some amount of data is being created and shared with third parties. To earn profit, almost all companies make their decisions on the data they have.

If you are a student and pursuing a bachelor’s degree in data sciences and want to move further with a master’s degree in the same branch, then an Online MCA in Data Science is perfect for you, in this blog, we are going to discuss about many aspects of this course like the syllabus, its eligibility criteria and career options after pursuing this course.

About Online MCA In Data Science

An Online MCA in Data Science is a 2-year postgraduate course created for students to provide them with the advanced computer skills and specific skills in data science. The course is best for students who want to get a deeper understanding of data analysis, machine learning and artificial intelligence in a flexible mode.

Data Science is emerging as one of the most exciting fields today, different industries are using data to make decisions, enhance their customer services and predict trends. It blends the main principles of computer applications with tools and techniques of data science. An online MCA in Data Science prepare students for a career in the field of technology and analytics.

Online MCA In Data Science: Course Overview

Program NameOnline MCA in Data Science
Degree levelMaster’s Degree
Field of studiesData science and data analytics
Duration2 years
Fees RangeINR 50,000- INR 3,00,000
Eligibility criteria
  • Applicant should have a bachelor’s degree in computer application (BCA) in the related field.
  • Applicant must have a minimum aggregate score of 50% in their undergraduate degree.
Career opportunities
  • Data Scientist
  • Data Analyst
  • Business Intelligence Developer
  • Data Architect
  • Data Engineer
  • Quantitative Analyst

Eligibility Criteria Of The Course

  • Candidate should have a bachelor’s degree in computer application (BCA) in the related field.
  • Candidate should have a minimum of 50% in their undergraduate degree.
  • In some universities, work experience is required, however, it is not mandatory.
  • There is no age limit to pursue his course.

Admission Process

Step 1: Research and Choose a University: Do research for universities that offer an Online MCA in Data Science, look for the course fee, accreditations and course structure.

Step 2: Fill out the Application: Visit the official website of the university and fill out the application form with personal and academic details and upload related documents.

Step 3: Entrance Exam (If Required): Some universities may require you to take an entrance exam to analyse your knowledge in subjects like maths, programming and reasoning.

Step 4: Shortlisting and Interview (If Applicable): In some cases, after meeting the eligibility criteria, you may be shortlisted for an online interview.

Step 5: Receive Admission Confirmation: After having a successful interview, the university will send you an admission offer to confirm your admission.

Step 6: Fee Payment: Once you have accepted the confirmation letter, pay the course fees. After payment, your enrolment will be confirmed.

Step 7: Start Classes: Congratulations, now get access to your online classes and course materials. You can begin learning right away.

Syllabus Of Online MCA In Data Science

SemesterSubjects
Semester 1
  • Mathematical Foundation for Computer Application
  • Operating System and Unix Shell Programming *
  • Data Communication and Computer Networks
  • Data Structures with Algorithms *
  • Computer Organization and Architecture
Semester 2
  • Relational Database Management System
  • Design and Analysis of Algorithms
  • Java Programming *
  • Python for Data Science *
  • Statistical Methods in Decision Making
Semester 3
  • Application Development using Python *
  • Advanced Web Technologies
  • Data Visualization *
  • SQL for Data Science *
  • Predictive Analytics using Machine Learning *
Semester 4
  • Data Mining *
  • Time series Analysis *
  • Text Mining *
  • Applied Analytics – Marketing, Web, Social Media
  • Cross-Functional Elective Course
  • Project **

Why Choose Online MCA In Data Science?

  • Growing Demand for IT Professionals: BCA graduates are in high demand for various tech roles in the software and IT sectors.
  • Affordable and Practical: As compared to B.Tech, BCA is cost-effective and focuses specifically on software applications, making it an ideal choice for those wanting a practical IT education.
  • Diverse Career Opportunities:The skills gained from BCA open various career paths in the IT sector, including roles like software developer, web developer, and IT consultant.
  • Foundation for Higher Studies: After BCA, students can pursue further studies like MCA or other specialized certifications to enhance their career prospects.
  • Industry-Relevant Curriculum:BCA programs are regularly updated to cover the latest technologies and trends, ensuring that graduates are well-prepared for the evolving tech industry.
  • Practical Exposure to Industry:BCA programs emphasize real-life experience and practical learning. Many colleges incorporate industry internships, live projects, and collaborations with tech companies, providing students with valuable exposure to real-world work environments.

Career Opportunities After Online MCA In Data Science

Data Scientist: They collect, analyse, and interpret large datasets to create predictive models for different projects.

Data Analyst: They are responsible for analyzing data sets to identify trends and patterns, and present findings to stakeholders.

Machine Learning Engineer: These engineers’ job role is to develop algorithms to enable systems to learn from data and make predictions.

Business Intelligence Analyst: Analysts use data to support business strategies and decision-making through analysis and reports.

Data Engineer: Data Engineers build and maintain the infrastructure that allows data to be collected, processed, and analyzed.

AI Engineer: They create and deploy AI models that analyze data and perform tasks like speech or image recognition.

Deep Learning Engineer: These types of engineers specialize in neural networks to develop advanced AI models for tasks like image and speech processing.

Data Architect: They design and manage scalable and efficient data storage systems and databases.

Quantitative Analyst (Quant): They use statistical models to analyze financial markets and make investment decisions.

Research Scientist (Data Science): They develop new algorithms or models to solve complex scientific or business problems.

Data Science Consultant: Their main job role is to advise companies on how to effectively use data to solve business problems and improve operations.

Data Science Manager: They manage a team of data scientists, oversee projects, and ensure alignment with company goals.

Top Colleges For Online MCA In Data Science

UniversityLocation
VITTamil Nadu
Lovely Professional UniversityPunjab
Amity University “Noida”Uttar Pradesh
Manipal University “Jaipur”Rajasthan
Jain UniversityKarnataka
Uttaranchal UniversityUttarakhand
Manipal University “Sikkim”Sikkim
Indira Gandhi National Open University (IGNOU)Delhi (Central University)
UPES OnlineUttarakhand
Amrita UniversityKerala

Conclusion

Hope you find this blog helpful about online MCA in data science. The data science field is very exciting and provides a lot of job opportunities and it is helpful to develop industry-related skills. Companies are now making data-driven decisions and use a large amount of data for analysis.

While a regular MCA offers various skills and job opportunities, an online MCA offers flexibility so that you can balance work, personal commitments, and education without compromising on quality.

FAQs

Ans:The fee structure varies depending on the institution, but typically includes tuition fees, exam fees, and other miscellaneous fees.

Ans:Students typically have access to academic support, technical support, and career counselling, through email, phone, or online chat.

Ans:Yes, many institutions provide placement assistance to graduates, through career counselling, resume building, and job placement services.

Ans:Yes, most online platforms allow students to interact with faculty and peers through discussion forums, live webinars, and video conferencing.

Ans:Basic knowledge of programming (especially Python) and mathematics/statistics is helpful, but many institutions offer preparatory courses.

Every query is necessary.

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