Masters in Data Science
Master of Science in Data Science
Program Learning Outcomes
-
Demonstrate Advanced Knowledge of Data Science
Possess a deep understanding of advanced data science concepts, including statistical analysis, machine learning, deep learning, and big data technologies. Graduates will be able to apply these concepts to solve complex data-driven problems. -
Develop and Implement Advanced Machine Learning Models
Design, develop, and implement advanced machine learning models for predictive analytics and data mining. Graduates will be proficient in using machine learning techniques, including supervised and unsupervised learning, to build and evaluate models. -
Apply Big Data Technologies and Data Engineering Principles
Utilize big data technologies such as Hadoop, Spark, and NoSQL databases to manage, process, and analyze large datasets. Graduates will be skilled in data engineering, enabling them to design and optimize data pipelines and storage solutions. -
Conduct Deep Learning and AI Research
Engage in research and practical applications of deep learning and artificial intelligence. Graduates will be capable of developing and implementing neural networks, convolutional neural networks, and other deep learning architectures. -
Perform Advanced Statistical Analysis
Apply advanced statistical methods and techniques to analyze and interpret data. Graduates will have a strong foundation in statistical modeling, hypothesis testing, and inferential statistics, allowing them to derive meaningful insights from data. -
Visualize and Communicate Data Insights
Demonstrate the ability to visualize and communicate complex data insights effectively. Graduates will be proficient in using data visualization tools and techniques to present data-driven findings to diverse audiences, including non-technical stakeholders. -
Address Ethical and Legal Issues in Data Science
Understand and navigate the ethical and legal considerations in data science, including data privacy, security, and the ethical use of data. Graduates will be prepared to make informed decisions that uphold ethical standards and comply with relevant regulations. -
Conduct Independent Research and Capstone Projects
Undertake independent research projects, culminating in a capstone project or thesis. Graduates will be able to apply their knowledge to real-world data science challenges, demonstrating their ability to conduct rigorous research and present their findings. -
Engage in Continuous Professional Development
Show a commitment to lifelong learning and professional development. Graduates will be encouraged to pursue further education, certifications, and professional development opportunities to stay current with emerging technologies and trends in data science. -
Collaborate and Lead in Multidisciplinary Teams
Demonstrate strong teamwork and leadership skills in multidisciplinary settings. Graduates will be equipped to work effectively with professionals from various fields, including IT, business, and engineering, to achieve common data-driven objectives.
Program Details
-
How You Study
- Application Process
- Career Opportunities
- Data Scientist
- Data Analyst
- Machine Learning Engineer
- Business Intelligence Analyst
- Big Data Engineer
- Data Consultant
How We Can Help
- A bachelor's degree in data science, computer science, statistics, or a related field
- Proficiency in English (IELTS, TOEFL, or equivalent)
- Relevant work experience or academic background is preferred
- A statement of purpose and letters of recommendation may be required
- Professionally communicate clearly, accurately, and analytically.
- Demonstrate critical thinking skills to properly analyze global business opportunities, utilizing content-specific knowledge to make and implement successful business decisions.
- Collaborate within a technological environment, which demonstrate microeconomic and macroeconomic competence in the field of international business.
- Comprehend introductory American accounting and financial principles governed by GAAP (Generally Accepted Accounting Principles) by analyzing reports and data.
- Evaluate the components of a global marketing plan for an organization, based upon a thorough assessment of potential markets and competitors for a given product or service.
- Identify ways to navigate effectively in the highly-competitive global economy.
- Advanced Machine Learning
- Data Engineering and Big Data Analytics
- Deep Learning Techniques
- Statistical Methods for Data Science
- Data Visualization and Communication
- Ethical and Legal Considerations in Data Science
- Ideal for those who are frequently traveling or have fluctuating work commitments, making it challenging to attend regular classes.
- Enables you to travel, relocate, or reside in remote areas while continuing your studies seamlessly.
- Online learning is particularly well-suited for students who need to balance the demands of work, family, and education. Your success in this mode of learning will largely depend on your personal characteristics, lifestyle, and preferred learning methods.
- The PAU Online MSc in Data Science offers unmatched flexibility in your educational journey. It's not only highly adaptable to your needs but also offers more flexibility than traditional MSc in Data Science programs.
- Each unit comes with a detailed Study Guide that includes complete coursework, workplace activities, required readings, and additional resources for each topic.
- The Professor assigned to you will handle the setting and grading of assignments and exams. They will also offer insights on various topics during the study period and provide academic support for any questions or issues you encounter.
-
To apply for the MSc in Data Science program, applicants must meet the following criteria:
-
The program spans two years, comprising core courses, electives, and a capstone project or thesis. Key courses include:
- The PAU Online MSc in Data Science is delivered entirely through online lectures. Our instructors, alongside industry experts and academics, ensure that the course content is designed to achieve excellent learning outcomes.
Download Brochure
- UAE
- 1 Year Fast-track | 3 Years Regular
- Online / On-Campus
Contact us
Amberjem Tower – 42nd Floor – Sheikh Khalifa Bin Zayed St – Al Rashidiya 3 – Ajman
Discover the excellence of French Accredited degrees in the UAE with PAIU. Our Bachelor’s, Master’s, and Doctorate degrees are recognized globally, thanks to accreditation by the French Ministry of Higher Education. Elevate your career with a UAE-recognized French degree today.
The perfect time to advance your education with a French Ministry-accredited university is now. At PAIU, we offer flexible online degree courses in the UAE, allowing you to start anytime. Whether you’re aiming for a Bachelor’s, Master’s, or Doctorate, our French Ministry Accredited institutions provide world-class education on your schedule.
Tackling on your academic journey with PAIU is simple. Our process ensures you can swiftly enrol in French-accredited degrees from the convenience of your home. As a French Ministry Accredited university, we offer a seamless online application for Bachelor’s, Master’s, and Doctorate degrees.
How to Apply?
Updated Resume/CV
Copy of High School Diploma
Original transcript of high school diploma and last received degree
Current photo identification – ID or passport.
* Any non-English documentation must have a certified English translation.
Admission to the master’s program may be accepted for students returning to school after 5 years of documented work experience upon review of prior learning experience. These students may be accepted as non-degree seeking students.