This comprehensive guide is written to delve deeper and explore every aspect of the prorgam, covering key highlights, eligibility criteria, program structure and duration, key benefits, course curriculum, and career opportunities.
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More About Online MSc in Online MSc Data Science
Are you someone who is passionate about learning Science and Technology with a professional master's degree program, the Master of Science which is often known as an MSc program is an ideal choice for such individuals. The MSc program is one of the highly renowned master's degree programs around the globe. The program is meticulously tailored integrating a detailed curriculum with several core subjects including machine learning, statistical modelling, big data analytics, and practical experience ensuring industry-oriented application. An online MSc program in data science delivers an excellent opportunity for modern-day learners, whether fresh undergraduates or working professionals, to enhance their skills and knowledge and excel in the domain.
This comprehensive guide is written to delve deeper and explore every aspect of the prorgam, covering key highlights, eligibility criteria, program structure and duration, key benefits, course curriculum, and career opportunities.
An online master of Science in data science (Online MSc) program is intended to give students advanced knowledge and abilities in the areas of artificial intelligence (AI), machine learning, data analytics, and statistical modelling. The curriculum, which is delivered through digital platforms, gives students the freedom to learn at their own pace and permits remote learning.
Big data technologies, programming, data mining, and predictive modelling are among the theoretical and applied facets of data science that are the main focus of the curriculum.
Every university nationwide has defined its requirement prerequisites for admission to an online MSc program. However, there are common grounds to enrol in the program which are mentioned below:
The Online MSc program in Data Science is technically one of the most sought-after degree postgraduate programs necessitating a cutting-edge understanding of the domain. Candidates must have hold basic understanding of the necessary programming languages, mathematics, calculus, and statistics in order to be considered for an MSc in Data Science. Big data, data visualization, machine learning, deep learning, data analysis, and so forth are other skills that an MSc Data Science candidate will acquire.
The detailed coursework of the program is mentioned below semester-wise. However, the course curriculum may vary across universities and modes of learning.
Semester 1 | Semester 2 |
Advanced Database Management Systems | Calculus and Linear Algebra for Data Scientists |
Applied Probability and Probability | Data Analysis and Visualisation |
Distribution | Distributed Algorithms & Optimisation with Hadoop, Spark |
SQL Programming | Advanced Machine Learning |
Python and R Programming | Deep Learning |
Computational Mathematics | Stochastic Processes |
Statistical Inference | |
Semester 3 | Semester 4 |
Cloud Native Development | Natural Language Processing |
Data Structures and Algorithms | Applied Business Analytics |
Java Programming | Data Engineering |
Optimisation | Data Mining and Warehousing |
Web Technologies | Programming in SAS for Analytics |
Bayesian Statistical Modelling | Research Methodology |
Longitudinal Data Analysis | Major Project |
Minor Project | — |
Of these, a student should choose those that most interest them or are most helpful to their career goals. Students can utilize the optional MSc Data Science courses listed below as a guide.
For Data Analytics:
Information Retrieval | Business Intelligence |
Number Theory and Cryptography | High-Performance Computing (HPC) |
Pattern Recognition | Information Security & Cryptography |
Regression Analysis | Predictive Analytics |
Theory of Computation | Parallel and Distributed Computing |
Time Series Analysis | Soft Computing |
For Data Mining:
Artificial Intelligence | Computer Graphics |
Computer Networks | Image Processing |
Clustering Techniques | Network Security |
Graph Theory and Discrete Mathematics | Natural Language Processing |
Text Mining | Signal Processing |
Web Intelligence | Social Network Aggregators |
For MSc Data Science:
Deep Learning | System Dynamics Simulation |
IoT Spatial Analytics | Spatial User Interface Design and Implementation |
Research Modelling and Implementation | Genomics |
Exploratory Data Analysis | Multivariate Analysis |
Stochastic Process | Programming for Data Science in R |
Hadoop | Image and Video Analytics |
Internet of Things | Identification and Data Collection |
Mentioned below are the steps to be followed while applying for admission to an Online MSc in Data Science:
The Online Master of Science (Online MSc) program span equivalent to a traditional on-campus program that is 2 years. However, it depends on the university or educational institution and the specializations offered.
In addition, the duration of the program can be extended to 3 to 4 years to cater to the unique needs of modern-day learners including traditional students or working professionals allowing them to balance their academic and personal and professional life.
The program's course fees differ depending on the university and speciality. The typical cost of the program in India, however, is between INR 16,000 and INR 30,000 each semester*.
Online MSc Computer Science | Online MSc Physics |
Online MSc Maths | Online MSc Economics |
Online MSc Data Science | Online MSc Business and Management |
Online MSc in Environmental Science | Online MSc in Biotechnology |
Online MSc in Artificial Intelligence (AI) and Machine Learning (ML) | Online MSc in Cybersecurity |
Book Name | Author/s |
Practical Statistics for Data Scientists | Peter Bruce and Andrew Bruce |
Introduction to Probability | Joseph K Blitzstein and Jessica Hwang |
Introduction to Machine Learning with Python: A Guide for Data Scientists | Andreas C Müller and Sarah Guido |
Python for Data Analysis | Wes McKinney |
Python Data Science Handbook | Jake VanderPlas |
R for Data Science | Hadley Wickham and Garret Grolemund |
Understanding Machine Learning: From Theory to Algorithms | Shai Shalev-Shwartz and Shai Ben-David |
Deep Learning | Ian Goodfellow, Yoshua Bengio, and Aaron Courville |
Mining of Massive Datasets | Jure Leskovec, Anand Rajaraman, Jeff Ullman |
The course structure is meticulously designed to cover both specific and elective MSc Data Science subjects. In the Initial (first) year, learners started having experience in fundamental understanding through other subjects. With the inception of the second (2nd) year of the course, learners get introduced to their desired specializations. Learners get theoretical knowledge which helps them in having hands-on practical experience. The course structure of the program includes:
An online MSc in Data Science is a transformative program that equips college students with the abilities and knowledge to excel in one of the maximum interesting and profitable fields. Whether you’re a fresh graduate trying to specialize or a working professional aiming for a professional shift, this application gives exceptional flexibility and possibilities.
The demand for professional facts scientists indicates no symptoms of slowing down, making it an opportune time to put money into this superior diploma. Choose a program that aligns together with your career aspirations, and embark on an adventure to grasp the artwork and technology of information.
Learners will gain the following skills after completion of the MSc data science course curriculum:
There are several core subjects available for the Online Master of Science (Online MSc) program includes several core subjects such as Artificial Intelligence (AI), Fundamental Data Analytics, Machine learning (ML), Natural Language Processing, Internet of Things (IoT), Python, and Regression Modelling.
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