"United Correspondence College offers Online MSc Data Science. Get info on course, eligibility criteria, fees, admissions 2023, exams, placements, etc."
An Online Master of Science (MSc) in Data Science is a specialized postgraduate course designed to equip individuals with the skills and knowledge needed to navigate the complex world of data analysis and interpretation.
The online format provides the flexibility for professionals and individuals with other commitments to pursue advanced education in data science without the constraints of a traditional classroom setting. This master’s program focuses on the systematic analysis of large sets of structured and unstructured data, utilizing advanced statistical and computational techniques. Participants in this online course delve into topics such as machine learning, data mining, and data visualization, gaining a deep understanding of how to extract meaningful insights from complex datasets.
Here are some key highlights of an MSc in Data Science program in a table format:
Program Name | Master of Science in Data Science |
Program Type | Post Graduate-level program |
Duration | 2 years |
Eligibility Criteria | A score of at least 50% is necessary in the Bachelor program, specifically in Computer Science, Statistics, or Mathematics. |
Mode of delivery | Online/Distance |
Admission requirements | Bachelor’s degree in a related field, minimum GPA requirement, GRE/GMAT scores (in some cases) |
Average Salary | INR 4- 8 lakhs Per Annum |
Career opportunities | Data scientist, data analyst, machine learning engineer, business intelligence analyst, data architect |
Accreditation | Accredited by a regional or national accrediting body |
There are several reasons why someone might choose to pursue an online MSc in Data Science, including:
Msc in Data Science distance education course is designed to cater to a diverse range of individuals seeking to advance their knowledge and skills in the field of data science without the constraints of traditional on-campus learning. A Distance Education Msc Course is particularly well-suited for working professionals looking to upskill or pivots their careers, as the flexible online format allows them to balance their studies with professional commitments.
This includes graduates from various backgrounds such as computer science, mathematics, engineering, or related fields, as well as professionals in business, healthcare, finance, and other sectors where data science is increasingly integral. The inclusive nature of distance education in data science opens up opportunities for a diverse range of learners to acquire expertise in a rapidly evolving and in-demand field.
Here are some common requirements:
Here are some common entrance exams for MSc in Data Science programs in India.
Entrance Exam | Conducting Body | Description |
---|---|---|
JAM (Joint Admission Test for MSc) | IITs | Conducted for admission to MSc programs, including Data Science, at various Indian Institutes of Technology (IITs). |
JNU CEEB (Jawaharlal Nehru University Combined Entrance Examination for Biotechnology) | Jawaharlal Nehru University (JNU) | Conducted for admission to MSc programs in Biotechnology, including specializations in Data Science and Computational Biology, at JNU and participating universities. |
BHU PET (Banaras Hindu University Postgraduate Entrance Test) | Banaras Hindu University (BHU) | Conducted for admission to various postgraduate programs, including MSc Data Science, at Banaras Hindu University. |
TIFR GS (Tata Institute of Fundamental Research Graduate School Admissions) | Tata Institute of Fundamental Research (TIFR) | Conducted for admission to various research programs, including MSc in Data Science, at TIFR and affiliated institutions. |
IIT JAM (Indian Institute of Technology Joint Admission Test for MSc) | IITs | Conducted for admission to MSc programs, including Data Science, at various Indian Institutes of Technology (IITs) and other participating institutes. |
ISI Admission Test | Indian Statistical Institute (ISI) | Conducted for admission to various programs, including MSc in Data Science and Analytics, at the Indian Statistical Institute. |
NIT M.Sc. Admission Test | National Institutes of Technology (NITs) | Conducted for admission to MSc programs, including Data Science, at various National Institutes of Technology (NITs) across India. |
Semester I | Semester II |
Mathematical Foundation For Data Science | Mathematical Foundation For Data Science – II |
Probability And Distribution Theory | Regression Analysis |
Principles of Data Science | Design and Analysis of Algorithms |
Fundamentals of Data Science | Machine learning |
Python Programming | Advanced Python Programming for Spatial Analytics |
Introduction to Geospatial Technology | Image Analytics |
Semester III | Semester IV |
Spatial Modeling | Industry Project |
Summer Project | Research Work |
Genomics | Research Publication |
Natural Language Processing | Exploratory Data Analysis |
There are several similar study options to an online MSc in Data Science that students may consider based on their interests and career goals. Some of these options include:
An Online MSc in Data Science has a promising scope in India with ample job opportunities in various sectors. Here are some career and job prospects for graduates:
Here is a table of the average salary of MSc in Data Science graduates in India, based on different job roles:
Job Role | Average Salary per Annum (INR) |
Data Analyst | 3-7 lakhs |
Data Scientist | 6-15 lakhs |
Business Analyst | 4-8 lakhs |
Machine Learning Engineer | 7-18 lakhs |
Data Engineer | 6-15 lakhs |
Big Data Engineer | 8-20 lakhs |
Data Architect | 9-16 lakhs |
Data Visualization Analyst | 4-8 lakhs |
Here are some top companies that recruit MSc Data Science graduates, presented in a table format:
Company | Industry |
---|---|
Technology and Internet | |
Microsoft | Technology and Software Development |
Amazon | E-commerce and Technology |
IBM | Technology and Consulting |
Technology and Social Media | |
Apple | Technology and Consumer Electronics |
Accenture | Consulting and Professional Services |
Deloitte | Consulting and Financial Services |
McKinsey & Company | Management Consulting |
Infosys | Information Technology Services |
Capgemini | Consulting and IT Services |
Oracle | Technology and Database Management |
Intel | Semiconductor Manufacturing |
SAP | Enterprise Software Solutions |
Q1. What is an Online MSc in Data Science?
An Online MSc in Data Science is a postgraduate program that focuses on the study of data analysis, data mining, machine learning, and other related topics. It is a flexible online program that allows students to learn and earn a degree without the need for physical attendance on campus.
Q2. What are the eligibility criteria for an Distance Education MSc in Data Science?
The eligibility criteria for a distance education MSc in Data Science may vary depending on the institution offering the program. However, in general, applicants should have a bachelor’s degree in a related field such as computer science, mathematics, statistics, or engineering. Some programs may also require applicants to have work experience or demonstrate proficiency in programming languages such as Python or R.
Q3. What are the career prospects after completing an Correspondence MSc in Data Science?
Graduates of a Correspondence MSc in Data Science can pursue various career paths such as data analysts, data scientists, machine learning engineers, business analysts, and more. They can find employment opportunities in sectors such as finance, healthcare, e-commerce, and IT, among others.
Q4. How long does it take to complete an Online MSc in Data Science?
The duration of an Online MSc in Data Science may vary depending on the institution and program structure. Typically, it takes around 2-3 years to complete the program.
Q5. What are the advantages of pursuing an MSc in Data Science Distance Learning?
Some advantages of pursuing an Distance learning MSc in Data Science include the flexibility to learn and earn a degree while maintaining a job or other commitments, access to diverse learning resources, and exposure to global perspectives.
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