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.
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 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.
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 |
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.
Following are the specialisations that you can opt for in the postgraduate MCA degree WILP.
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.
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.
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.
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.
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.
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.
The average salary of a data engineer is INR 7.3 LPA by more than thirty-one thousand employees in the field.
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.
The salary of an IT Executive ranges from INR 1.5 LPA to INR 5.5 LPA.
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.
The average salary of a senior software engineer is INR 9.6 LPA, with the range of INR 5 LPA to INR 22 LPA.
Listed in the table below are some online certificate courses that you can pursue for an even higher raise in your salary.
Course Name | Duration of the Course | Objectives of the Course |
Advanced Certificate Programme in DevOps | Self-paced course | This course will help you gain specialisation in DevOps, AWS, and distributed and parallel computing. |
System Issues in Cloud Computing Specialisation | 6 months | This course provides in-depth knowledge about the development of different layers of cloud computing. |
Deployment in Machine Learning Model | 10 hours | This course teaches about how different machine learning models are developed and the algorithms for their foundation. |
Deployment in Machine Learning | Self-paced course | This course helps in the integration of machine learning models into existing productions for practical business decisions. |
Data Science Tools | 7 weeks | You will learn the tool kit that every data scientist had the access to, and the ins and outs of their applications. |
Software Design and Architecture | 4 months (16 weeks) | This course teaches the patterns of software architecture and how they can be applied in business prospects. |
IBM Machine Learning Professional Certificate | 6 months | This curse gives a specialisation of the most trending skills used by machine learning experts. It also provides working knowledge about KNN, and PCA. |
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.
No, online degrees in MCA cost less than regular degrees, hence making them more cost-efficient.
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.
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.
Entry-level workers usually make 2-3.5 LPA, whereas experienced candidates earn between 20-25 LPA.
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