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Online MCA In Data Science

Duration : 2 Years

  • Course Fee:₹65000 /-
  • Eligibility:Bachelor Degree

Unlock the power of data with our Online MCA in Data Science. Gain expertise in analytics, programming, and machine learning from anywhere!

Data Science
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About Online MCA in Data Science

An organisation's data has a million secrets stored in it. When you learn to analyse that data to draw significant conclusions, you can not only solve the existing problems in a business but also optimise the full potential of that organisation. Data Science is the art of combining mathematics, statistics, AI, machine learning, and programming to get an insight that can be acted upon to propel the organisation to a new height. 

For professionals already working in the data science department looking forward to increasing their salaries and developing advanced skills, an Online MCA in Data Science is the perfect opportunity.  This work-integrated learning program helps develop skills such as analysing data, decision making and strategic planning. 

The updated curriculum of the course lays down a strong foundation on topics like software and computer applications and increases proficiency in the analysis skill of data. Over two years, students tend to gain profound theoretical and practical knowledge. 

Let us now look deeper into the Online MCA in Data Sciences. 

Key Highlights of the Course

  • Online MCA in Data Science lasts twenty-four months, divided into four semesters of six months each. 
  • Real-time working experience is subjected upon the students with lab work and projects. 
  • Professional experts in the industry are assigned to design the curriculum of these courses to reflect a perfect balance of theoretical and practical knowledge.  
  • To be admitted into the course, candidates must have completed their graduation or any equivalent degree with a minimum of 50% passing marks.  
  • The course covers programming languages like Python and technical subjects like SQL, Matplotlib, etc. 

Eligibility Criteria

To get admission into an Online MCA in Data Science, a student must abide by the eligibility criteria of the course. Consider the following factors for eligibility:

  • The candidate must have completed his graduation with a BCA degree or its equivalent (B.Sc, B.Com, B.A, etc.) in the category of Computer  Science or Information Technology.
  • The minimum score of the candidate must be  45-50% of the aggregate in all the qualifying subjects. However, there is some relaxation provided to the candidates from the reserved categories. 
  • If a candidate is in his/her last year of the bachelor’s program, they are eligible to apply. 

Duration of the Course

The Online MCA in Data Science lasts for two years. To make the subject delivery proficient for the students as well as the staff, these two years are subdivided into 4 semesters. After each semester, there are assignments and regular examinations to help students gain the necessary skills to excel in the field. 

Subjects Included in the Syllabus

The subjects included in the curriculum are specially designed by experts in the industry to provide students with the required skills to compete on data science platforms and succeed in their respective job domains. 

Other than the mandatory online classes, there are one-on-one sessions, doubt sessions, lab work, and up-to-date career requirements, including resume guides, interview guidelines, masterclasses and practice assignments. 

Listed below are the subjects taught each semester for an Online MCA in Data Science. 




 

Semester 1, Year 1

Data Structures with Algorithms
Computer Architecture and Organisation
Operating System and Unix Shell Programming
Computer Networks and Data Communication
Mathematical Foundation for Computer Applications





 

Semester 2, Year 1

Java Programming
Python for Data Science
Relational Database Management System 
Statistical Methods in Decision-Making
Analysis and Design of Algorithms





 

Semester 3, Year 2

Data Visualisation
SQL for Data Science
Advanced Web Technologies
Data Mining
Application Development Using Python
Elective Course (Open)





 

Semester 4, Year 2

Applied Analytics— Social Media, Marketing and Web
Time Series Analytics
Text Mining
Using Machine Learning for Predictive Analytics
Elective Course (Cross-functional)
Project

Admission Process for Online MCA in Data Science

Like all the other work-integrated learning programs, the admission process for Online MCA is also conducted virtually. You do not have to make on-campus visits to any university. 

  • Explore the university options, compare their fees and choose the one that is the most suitable. 
  • Visit the official website of that university and choose the course you want to enrol in.
  • Register yourself as a new user and create your login credentials. Do not forget to note down these credentials safely. 
  • Please fill out the application form with all the necessary details and verify them a few times for good measure.
  • Next, the payment of the application or the registration fees needs to be completed. 
  • Wait patiently for a response from the university after completing your application process.
  • After the verification of your eligibility, the university will get back to you via email. 
  • For the final admission step, pay the required tuition fees. 

Other Specialisations in Online MCA Other than Data Science

Following are the specialisations that you can opt for in the postgraduate MCA degree WILP. 

  1. MCA Online in Machine Learning
  2. MCA Online in Machine Learning and Artificial Intelligence
  3. MCA Online in Data Analytics
  4. MCA Online in Cyber Security
  5. MCA Online in Game Development 
  6. MCA Online in Artificial Intelligence
  7. MCA Online in Cloud Computing
  8. MCA Online in Blockchain
  9. MCA Online in Computer Science and Information Technology
  10. MCA Online in Full Stack Development

Career Opportunities After Completing Online MCA in Data Science

Harvard Business Review classified Data Scientist as “the sexiest job of the 21st century”. Across every industry, the rapidly multiplying volume of sources of data, and hence the data itself, has made this field one of the most rapidly expanding job domains. Organisations are turning into believers of data science to get an interpretation of their data, get recommendations to be acted upon, and get outcomes to optimise their business. 

Listed below are a few job profiles with their descriptions, skills required and salaries.

Data Scientist:

An accomplished professional who applies the skills of mathematics, coding and problem-solving to extricate actionable conclusions after managing big data is a data scientist. They customise solutions to the business problems of an organisation based on these conclusions and help them expand to their maximum potential. The skills required by a data scientist are the following. 

  • Expertise in wrangling data
  • Deep learning
  • Processing large sets of data
  • Statistical analysis
  • Computing and programming
  • Mathematics

The average salary of a data scientist in India is INR 9.4 LPA, with a range of INR 3.7 LPA to 25 LPA. 

Data Analyst 

A data analyst’s primary job responsibility is adding value to a business. They use an array of special software and tools to extract data, acknowledge queries related to data, make data more efficient by setting up processes, conclude trends after analysis of data and report these trends. These are the skills required by a well-versed data analyst. 

  • Data exploration and study
  • Data preparation and cleaning
  • Crafting data visualisations
  • Statistical knowledge
  • Creating dashboards
  • Drawing out reports
  • Domain knowledge

The salary range for a data analyst in India is INR 1.7 LPA to INR 11.7 LPA, with an average of INR 4.2 LPA.

Data Engineer:

The primary goal of a data engineer is to make sure data is easily approachable so that data scientists and business analysts can easily decode them. So, data scientists build systems that can collect this raw data and convert it into manageable form. Here are a few skills required by a data engineer. 

  • Data warehousing
  • Coding
  • Programming languages
  • Machine learning
  • Data analysis
  • SQL
  • Data communication

The average salary of a data engineer is INR 7.3 LPA by more than thirty-one thousand employees in the field. 

IT Executive:

Their job is to create graphic pictures of tech-related operations and how they fit in with the comprehensive processes. They also supervise the activities and manufacturing of the tech departments. The skills required by an IT executive are as follows. 

  • Leadership
  • Project management
  • Problem-solving
  • Communication
  • Skills management
  • Decision-making

The salary of an IT Executive ranges from INR 1.5 LPA to INR 5.5 LPA. 

Senior Software Engineer:

Monitoring software development projects, creating clean and efficient codes, and managing a team of engineers are the primary responsibilities of a senior software engineer. The skills required for this job are the following. 

  • Java script
  • Programming
  • Software development
  • Leadership 
  • Software testing

The average salary of a senior software engineer is INR 9.6 LPA, with the range of INR 5 LPA to INR 22 LPA. 

Specialisation Courses After Completing Online MCA in Data Science

Listed in the table below are some online certificate courses that you can pursue for an even higher raise in your salary. 

Course NameDuration of the CourseObjectives of the Course


 

Advanced Certificate Programme in DevOps

Self-paced courseThis course will help you gain specialisation in DevOps, AWS, and distributed and parallel computing.
System Issues in Cloud Computing Specialisation6 monthsThis course provides in-depth knowledge about the development of different layers of cloud computing. 
Deployment in Machine Learning Model10 hoursThis course teaches about how different machine learning models are developed and the algorithms for their foundation. 
Deployment in Machine LearningSelf-paced courseThis course helps in the integration of machine learning models into existing productions for practical business decisions. 
Data Science Tools7 weeksYou will learn the tool kit that every data scientist had the access to, and the ins and outs of their applications.
Software Design and Architecture4 months (16 weeks)This course teaches the patterns of software architecture and how they can be applied in business prospects.
IBM Machine Learning Professional Certificate6 monthsThis curse gives a specialisation of the most trending skills used by machine learning experts. It also provides working knowledge about KNN, and PCA. 

Top Recruiters That Hire Graduates from Online MCA in Data Science

  1. EY
  2. Microsoft
  3. Amazon
  4. Google
  5. VMware
  6. JP Morgan Chase ad Company
  7. Splunk
  8. Numerator
  9. Databricks
  10. Teradata

Top Universities where You can Pursue an Online MCA in Data Science and their Fees Per Semester

  1. JNU — INR 371/-
  2. Delhi University — INR 9760/-
  3. IGNOU — INR 12,000/- 
  4. Mangalayatan University — INR 15,000/- 
  5. Chandigarh University — 14,350/-
  6. Uttaranchal University — INR 17,000/-
  7. Vignan University — INR 27,500/-
  8. Manipal University — INR 37,500/- 
  9. Lovely Professional University — INR 26,500/-
  10. Jain University — INR 32,500/-

FAQs

  • Are work-integrated learning programs efficient?

Yes, the WILP provides a way to boost your career while also pursuing the degree of your choice. You can aim for an increase in salary as you go on developing new advanced skills. 

  • Is an Online MCA in Data Science expensive?

No, online degrees in MCA cost less than regular degrees, hence making them more cost-efficient. 

  • Is an Online MCA worth it?

An online MCA degree is the same as a regular MCA degree. They both are equally valuable if pursued by a UGC-DEB-approved university. 

  • Which MCA job has the highest salary?

A software developer with years of experience can earn up to INR 13 LPA, making it one of the highest-earning job profiles in the IT department. 

  • What are the salary ranges in MCA data science?

Entry-level workers usually make 2-3.5 LPA, whereas experienced candidates earn between 20-25 LPA. 

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