MS Data Science Complete Guide 2024

MS in Data Science is an associate degree program which is designed to impart studies in scientific techniques, processes and systems to extricate knowledge and understanding of data in different forms, structured or unstructured just like data mining.

MS data science degree program is designed for students who want to begin their careers in data science. This degree program is the combination of different subjects such as statistical modeling, management of massive data sets, data visualization, machine learning, software engineering and data ethics.

The 2-year MS data science program consists of compulsory and recommended elective courses on all important data topics, a set of elective courses (research based and professional), modules of entrepreneurship and transformation. Data scientists are the most demanded specialists in the hi-tech market.

Majors Or Specializations Of MS Data Science

The following major courses that are much recommended to be understood before entering the MS data science degree program.

  • Programming Fundamentals

  • Core Programming Course/OOP

  • Data Structures and Algorithms

  • Design and Analysis of Algorithms

  • Database Systems

  • Linear Algebra/ Statistics

There are also following specialized core courses:

  • Advance Big Data Analytics

  • Big Data Analytics

  • Distributed Data Processing

  • Deep Learning

  • Natural Language Processing

Duration And Credit Hours Of MS Data Science

The minimum duration to complete an MS data science degree program is 2 years with 8 semesters and not more than 4 years. The degree will be terminated after the maximum duration.

Semesters Credit hours
1st semester 12
2nd semester 9
3th semester 6
4th semester 6

Scope And Career Of MS Data Science

Masters in sciences degree program provides students with advanced tools, technologies and methodologies to solve complicated data related issues. This is for making sense of structured data to take out useful information.

This degree program covers mathematical and statistical fundamentals, natural language processing, data science tools, big data analytics and information visualization. In this program, there are different case studies belonging to various fields such as telecom, social media, customers’ data, health sector and scientific domain etc. Data science is a materialize field in Pakistan. The future of data science is fully bright because the demand for data scientists is growing day by day.

The students will be able to pursue jobs in the various data science related areas. There are following job opportunities of MS data sciences:

  • Enterprise Data Analyst

  • Financial Data Analyst

  • Statistician

  • Computer Systems Analyst

  • Software Developer

  • Cyber Security Data Analyst

  • Social Media Data Analyst

  • Healthcare Data Analyst

  • Database Administrator

  • Computer Network Analyst

  • Data Engineer

  • Data Manager

  • Energy Fleet

  • Data Analyst / junior data scientist

  • Data Analytics Consultant

  • Data Analytics Project Manager

  • Data And Analytics Senior Analyst

  • Data Infrastructure Analyst

  • Data Quality Analyst

  • Economic Data Analyst

  • Junior Data Analyst / scientist

  • Lead Data Analyst

  • Machine Learning Engineer

  • Data Architect

  • Big Data Engineer

  • Database Administrator

  • Business Intelligence Analyst

  • Director Of Analytics

  • Product Manager

  • Database Manager

  • Data Warehouse Manager

  • Database Developer

  • Business Intelligence Analyst

  • Statistician

  • Analyst

  • Business Intelligence Developer

Skills And Learning Outcomes Of MS Data Science

There are following skills which are needed for masters in a data science degree program.

  • Programming

  • Statistics and probability

  • Data wrangling and database management

  • Machine learning and deep learning

  • Data visualization

  • Cloud computing

  • Interpersonal skills

Learning Outcomes of MS Data Science

  • To equip students to modify data into operative insights to make complicated business recommendations.

  • They will also be able to understand and identify a problem and get computable solutions.

  • To also expose students to the set of automation that meets those solutions.

  • They will be able to gain hands-on experience on data scientific tools for numerical analysis, visualization and big data applications at the same meticulous scale as in a hands- on data science project.

  • They will also be able to understand the suggestions of handling data in terms of business ethics and data security.

  • Students will have the ability to make effective oral and written presentations on technical issues.

Syllabus And Courses Of MS Data Science

1st semester

Courses Credit hours
Methods for Data Science 3
Data Science Tools and Techniques 3
Statistical and Mathematical 3
Specialized Core-I 3

2nd semester

Machine Learning for Data Science 3
Specialized Core-II 3
Research Methodology 3

3rd semester

Computing Elective-I 3
MS Thesis-I/MS Project-I 3

4th semester

Computing Elective-II 3
MS Thesis-II/MS Project-II 3

Elective courses

Courses Credit hours
Advanced Topics in Social Network Analysis 3
Semantic Web 3
Artificial Intelligence 3
Big Data Analytics 3
Advanced Operating System 3
Data Science 3
Advance Software Quality Assurance 3
Advanced Analysis of Algorithm 3
Advance Software Project Management 3
Scientific Computing in Finance 3
Social network analysis 3
Time series Analysis and Prediction 3
Natural Language Processing 3
inference and Representation 3
Methods for Data Science and Machine Learning 3
Distributed Data Processing and Machine Learning 3
Deep Reinforcement Learning 3
Cloud computing 3
Data Visualization 3
Big Data Analytics 3
Computational Genomics 3

Core Courses

Tools and Techniques in Data Science 3
Statistical and analytical techniques for Data Science 3
Research Methodology 3
Machine Learning 3

Related Courses Of MS Data Science

There are following relevant courses of data sciences

  • Data Science in Python

  • Applied Plotting

  • Charting and Data Representation in Python

  • Applied Machine Learning in Python

  • Applied Text Mining in Python

  • Applied Social Network Analysis in Python

Related Masters degrees in Data Sciences
  • Masters in Computer Science

  • Masters in Information Sciences

  • Masters in Computer Engineering

  • Masters in Mathematics

  • Masters in Software Engineering

  • Masters in Cyber Security

  • MS in Computer Science

  • Masters in Information Technology

  • Masters in Artificial Intelligence

  • Masters in Business Intelligence

  • Masters in Statistics

  • Masters in Machine Learning

Fee Structure Of MS Data Science

Fee structure of some public and private universities

ITU fee structure for MS data science degree program
Semesters Semester Wise Total Fee
1st semester 120000
2ndsemester 115000
3rdsemester 96800
4thsemester 96800
Total 4286003

University of management and technology structure for MS data science degree program

Learning Investment 549000
Quarterly Fee 68625

Other universities fee structure for MS data science

National University Of Science and Technology 138,000
The Islamia University Of Bahawalpur 70,000
National University Of Computer And Emerging Sciences, Islamabad 220,000
Air University 132,000
Ned University Of Engineering and Technology 83,000

Further Courses After MS Data Science

  • PhD in Computer Science

  • PhD in Information Sciences

  • PhD in Computer Engineering

  • PhD in Mathematics

  • PhD in Computer Science

  • PhD in Information Technology

  • PhD in Software Engineering

  • PhD in Cyber Security