Master of Science in Applied Data Science and Machine Learning
(MSADSML)
- Expectations
- Our difference
- Benefits
- Overview
- Curriculum
- Faculty
- Costs & Fees
- Requirements
- Testimonials
“At Vedere University, our MSc in Applied Data Science and Machine Learning is more than just a degree. It is a journey towards a future where technology and data come together to create impactful solutions for a better tomorrow.”
As President & CEO, I invite you to explore our program and see how
we are shaping the workforce through education for impact. As I always say, “Empowering individuals through education is the key to unlocking a better future for all.”
A Word From our President and CEO
The MSc in Applied Data Science and Machine Learning program, under the expert guidance of Dr. David Lopez, is truly exceptional in its commitment to student success. With a Ph.D. in computer science and a distinguished career as a data scientist at the Alan Turing Institute, Sky, KPMG, and as a consultant for Google, United Nations, and UCL, Dr. Lopez brings a wealth of knowledge and experience to the program. His structured and innovative approach to student learning and support sets the program apart, and we are honored to have him at the helm.
As an accomplished executive leader in higher education with vast experience in the US and Europe, I have a history of focusing on a relentless student-centric approach. At Vedere University, I have leveraged this experience to create an University that is passionate about providing the highest quality education and close, continuous support to students seeking to enhance their careers and heighten their professional impact.
The MSc in Applied Data Science and Machine Learning at Vedere University is an opportunity to take your career to the next level. It is a journey that will equip you with the latest knowledge, skills, and techniques required to thrive in the rapidly growing fields of data science and business analytics. With a focus on problem-based learning and practical application, the program is designed to help you unleash your full potential and become a successful professional and leader in your chosen field.
MSc in Applied Data Science and Machine Learning Introduction
The MSc in Applied Data Science and Machine Learning at Vedere University is a professionally focused degree program designed to be delivered fully online as part of an innovative, staggered approach to mastering data science, business analytics, and machine learning. Through this highly structured curriculum, you will develop a comprehensive set of work-ready skills that will prepare you to excel in a wide range of companies and industries.
“In the age of big data and artificial intelligence, employers across all industries recognize there is an essential need for business analysts and data scientists capable of using advanced skills and emerging technologies to derive insights and drive decision-making. This program will deliver these essential and in-demand competences.”
Dr. David Lopez, Ph.D.
Faculty and Program Director
In order to deliver learning effectively, the program utilizes a problem-based learning method. By following this method, students gradually gain and enhance a comprehensive and precisely tailored set of skills that includes Python programming, statistical modeling, deep machine learning, and decision theory within the realm of business analytics.
The program is divided into three stages as follows:
- Stage 1 – Students will acquire basic programming skills and statistical analysis and data visualization techniques
- Stage 2 – Students will be exposed to advanced programming and statistical analysis.
- Stage 3 – Students will be introduced to machine learning techniques and apply their skills in industry contexts.
Program Outcomes
The student learning outcomes are grouped into the categories of analytical, technical, and communication, and there is substantial intersection between categories. The program has been designed so that students will be able to:
- Analytical Competences
- Build statistical models and understand their power and limitations
- Design an experiment
- Apply problem-solving strategies to open-ended questions
- Technical Competences
- Acquire, clean, and manage data
- Manage and analyze massive data sets
- Use machine learning and optimization to make decisions
- Assemble computational pipelines to support data science from widely available tools
- Communication Competences
- Visualize data for exploration, analysis, and communication.
- Collaborate within and across functional teams
- Deliver reproducible data analysis
- Conduct data science activities aware of and according to policy, privacy, security and ethical considerations
Program Details
Immerse yourself in a diverse and inclusive online learning community
As a working professional, we understand that your time is valuable, which is why we have designed the program to be highly flexible.
All courses are delivered 100% online with both asynchronous and synchronous activities providing you with the perfect blend of flexibility, structure, and interaction. The asynchronous elements of the program will include pre-recorded content, readings, labs and other exercises, and assignments, while the synchronous activities will include regular live seminars, Q&A sessions, and other opportunities to engage with faculty, fellow students, and industry experts.
Courses will be delivered in 7-week sessions, with 2 sessions taking place each semester. You can choose to complete the program in 1 or 2 years depending on your preferred pace of study.
Key Details
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Start Dates: 3x per year
September
January
April -
Program Duration: Either 2 years (standard) or 1 year (accelerated)
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Delivery Format: Online Learning
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Individual Course Length: 7 Weeks
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Student Commitment: Ca. 15 hours per week per course
Revolutionize Your Thinking and Your Career
With our Cutting-Edge Curriculum
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Fundamental Stage (4 courses)
You will acquire a solid foundation in Python coding and statistical modeling and principles.
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Intermediate Stage (4 courses)
You will learn to master more specialized Python code for accessing databases and to understand the general linear model and other statistical methods in greater breadth and depth. You will also consolidate your skills with an intermediate-level course focused on common challenges in using analytics for decision-making in business contexts.
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Professional Stage (3 courses and Capstone Project):
You will learn how to incorporate machine learning techniques for classification and clustering, pattern recognition and forecasting, and image and text processing into your analytical skillset. You will also have the chance to apply the full range of your newly developed skills in a capstone project and in a professional-level course on business analytics for decision-making.
The MSc in Applied Data Science and Machine Learning is a 36-credit program consisting of the following 11 courses and a Capstone Project.
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Python for Data Science 1
In this course you will learn fundamental programming skills that enable you to search and sort data. You will be introduced to programming in Python and learn how to develop and run programs in Jupyter Notebooks. You will learn key programming principles and practice applying them to real business or industry problems. These skills will form the basis of your ability to address business or industry problems using data.
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Python for Data Science 2
In this course you will learn fundamental programming skills that enable you to process textual and time-series information. You will further learn programming concepts in Python. You will learn advanced programming principles and will practice applying them to real business or industry problems. These skills will form the basis of your ability to address business or industry problems using data.
Prerequisite: Python for Data Science 1
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Math for Data Science 1
In this course you will learn fundamental statistical skills that enable you to analyze data. You will be introduced to basic descriptive and exploratory statistics and will learn how to implement them using software code. You will learn key statistical principles and practice applying them to real business or industry problems. These skills will form the basis of your ability to address business or industry problems using data.
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Math for Data Science 2
In this course you will learn fundamental statistical skills that enable you to analyze data. You will be introduced to basic statistical analysis with a focus on regression models and learn how to implement them using software code. You will learn key statistical principles and practice applying them to real business or industry problems. These skills will form the basis of your ability to address business or industry problems using data.
Prerequisite: Math for Data Science 1
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Python for Data Science 3
In this course you will learn advanced programming skills that enable you to process large datasets and access external databases. You will further learn programming concepts in Python. You will learn advanced programming principles and practice applying them to real business or industry problems. These skills will further enhance your ability to address business or industry problems using data.
Prerequisite: Python for Data Science 2
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Math for Data Science 3
In this course you will learn advanced statistical skills that enable you to analyze panel data. You will be introduced to advanced statistical analysis and learn how to apply it using software code. You will learn key statistical principles and practice applying them to real business or industry problems. These skills will form the basis of your ability to address business or industry problems using complex data structures.
Prerequisite: Math for Data Science 2
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Math for Data Science 4
In this course you will learn advanced statistical skills that enable you to develop experiments and causation analysis. You will be introduced to generalized linear models and learn how to apply them using software code. You will learn advanced statistical principles and practice applying them to real business or industry problems. These skills will form the basis of your ability to address business or industry problems using complex statistical techniques.
Prerequisite: Math for Data Science 3
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Analytics for Decision Making
In this course you will apply the concepts, methodologies, and techniques from previous courses to tackle realistic analytical challenges. You will develop analytical skills and Competences required to inform decision-making processes in business and industry contexts. This course will allow you to consolidate your analytical skills and competences.
Prerequisites: Python for Data Science 3, Math for Data Science 3
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Machine Learning for Data Science 1
In this course you will learn advanced statistical skills that enable you to classify, forecast and find patterns in data. You will be introduced to clustering, forecasting and classification techniques and learn how to apply them using software code. You will learn basic machine learning principles and practice applying them to real business or industry problems. These skills will form the basis of your ability to address business or industry problems using machine learning techniques
Prerequisites: Python for Data Science 3, Math for Data Science 3
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Machine Learning for Data Science 2
In this course you will learn advanced techniques that will enable you to use state of art techniques to process images, text, classify and forecast data and will learn how to apply them using software code. You will learn advanced machine learning principles and will practice applying them to real business problems. These skills will form the basis of your ability to address business problems using advanced machine learning techniques.
Prerequisite: Machine Learning for Data Science 1
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Generative AI for Data Science
In this module you will learn how to apply generative artificial intelligence to process and transform complex, unstructured datasets. You will be introduced to prompt engineering and learn how to apply it for analytical purposes. These skills will complement your ability to process textual information and extract relevant insights from it.
Prerequisites: Python for Data Science 3, Math for Data Science 3
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Capstone Project
In this course you will apply the concepts, methodologies, and techniques from previous courses to provide a solution to a real business or industry challenge. This course will allow you to consolidate your analytical skills and competences and gain real experience as an aspiring data scientist, analyst or ML engineer.
Meet your Faculty
Become a leader with us.
Learn from industry leaders who bring their experience to the classroom.
At Vedere University, we are proud to have a faculty member and program director who is not only knowledgeable but also passionate about teaching and helping our students succeed. He and our other program faculty are experts in their respective fields and bring their unique skills and experiences to the program.
We are confident that our faculty will provide our students with the knowledge and guidance they need to succeed in their careers. Whether you are a recent graduate just starting out or a working professional looking to expand your skill set, our faculty will be there to support and guide you every step of the way.
Dr. David Lopez
Dr. David Lopez
Dr. David Lopez is a leading expert in data science and artificial intelligence. With a Ph.D. in computer science and an impressive career at the Alan Turing Institute, Sky, KPMG, and as a consultant for Google, United Nations, and UCL, Dr. Lopez brings a wealth of knowledge and expertise to the table.
Professor Alan Brown
Professor Alan Brown
Professor Alan Brown is a business leader, advisor, and academic with 20 years of experience in large-scale software-driven programs and digital transformation. He co-founded the Surrey Centre for the Digital Economy at the University of Surrey and led research in several EPSRC-funded research projects. He is now a Professor in Digital Economy at the University of Exeter, Director of the UK National Research Centre for digital transformation in Large Established Organizations, and Deputy Director of the Defence Data Research Centre. Professor Brown is a Fellow of the British Computer Society and the Alan Turing Institute. He has a Ph.D. in computational science and has published multiple papers and five books on software engineering, systems design, and digital business transformation.
Dr. Christopher Gaul
Dr. Christopher Gaul
Dr. Christopher Gaul is an experienced quantum physicist and machine-learning engineer with a remarkable background at the forefront of cutting-edge research. Holding a doctorate in theoretical physics from the University of Bayreuth (Germany), Dr. Gaul’s expertise lies at the intriguing intersection of Artificial Intelligence (AI), Chemistry, and Physics. With an impressive research portfolio that spans across esteemed institutions such as the Complutense University of Madrid (Spain), the Max-Planck Institute for the Physics of Complex Systems, and Cognitec Systems GmbH in Dresden (Germany), he has amassed a wealth of knowledge and experience in his field.
We are Invested in your Success
Backing your future
Cost and Fees
The MSc in Applied Data Science and Machine Learning program fees are as follows:
- 15,984 USD
- 36 Credits
- 444 USD per Credit
Scholarships
Register today and discover the many opportunities available to you. Applicants to Vedere University’s programs may apply for the following scholarships:
- Women in Business Scholarship
- Leadership Scholarship
- Social Impact Scholarship
- Entrepreneurship Scholarship
- Needs-Based Financial Scholarship
The Vedere University Promise
Unlock endless potential
As a Vedere University graduate, you will receive access to a free 3-credit course each year for 5 years. This exclusive benefit helps ensure you are always at the forefront of your field, with the latest knowledge and skills to stay ahead of the curve. With Vedere University, you will never stop growing and achieving your goals, making your education a lifetime investment.
Become a Vedere University Student
The application process
At Vedere University, we understand the importance of making the application process as smooth and stress free as possible. That is why we offer a personalized and straightforward experience, where every applicant will have a dedicated team member to guide them through the process and provide support every step of the way.
Apply now and discover how Vedere University can help you take the next step in your career.
Requirements for Admission
- An undergraduate degree from an accredited Institution – with a preferred GPA of 3.0 or higher
- A minimum of five years demonstrable work experience
- Completed application form which includes personal statements/essays
- Resumé
- Official academic transcripts and certificates
- Letters of recommendation including one from your current employer
- TOEFL/IELTS or other English language proficiency test if applicable
Prospective students interested in applying to the program must complete the following steps:
- Complete the initial application form, submit your application fee of $90, and conduct an initial conversation with a member of the Vedere University team
- Complete the full application form and submit supporting documents and information, including English proficiency test scores if applicable
- Attend a virtual admissions interview with a member of the Vedere University team
Transform Your Career With the Vedere University MSADSML Progam
Discover our success stories
Real Stories
Real Success
Driven by Vedere University
The MSADSML program empowers you to become a data-driven innovator and leader, excelling in various roles within the tech and business sectors.
Success stories from our students
“The professors are not only experts in their fields but also compassionate and supportive mentors who have guided me through my academic journey.”
“Having achieved the highest level of education possible, one really does not think that there is anything much left to learn. Enrolling in the MHSM at Vedere University has definitely proven that theory to be incorrect.”
“It challenged me to overcome my limitations and improve my performance as a leader. I gained valuable insights into my own strengths and areas for improvement. Dr. Ruthann Cunningham offered supportive feedback, and was inspiring, compassionate, helpful, and encouraging throughout the entire course experience.”
“I like the approach, I like the flow, and the pace of things. I was quite surprised at how much I learned that I have actually been using daily in the practice. Having access to the instructors is absolutely phenomenal.”
“The online courses are always accommodating to your needs, along with videos that are well put together with automatic transcription. As I continue my journey, I applaud the amazing staff effort.”
“The course on the Business of Medicine was a stimulating and enriching experience for me. The professor demonstrated a profound mastery of the subject matter and facilitated lively and insightful discussions among the students.”
“The professors are not only experts in their fields but also compassionate and supportive mentors who have guided me through my academic journey.”
“Having achieved the highest level of education possible, one really does not think that there is anything much left to learn. Enrolling in the MHSM at Vedere Institute has definitely proven that theory to be incorrect.”
“It challenged me to overcome my limitations and improve my performance as a leader. I gained valuable insights into my own strengths and areas for improvement. Dr. Ruthann Cunningham offered supportive feedback, and was inspiring, compassionate, helpful, and encouraging throughout the entire course experience.”
“I like the approach, I like the flow, and the pace of things. I was quite surprised at how much I learned that I have actually been using daily in the practice. Having access to the instructors is absolutely phenomenal.”
“The online courses are always accommodating to your needs, along with videos that are well put together with automatic transcription. As I continue my journey, I applaud the amazing staff effort.”
“The course on the Business of Medicine was a stimulating and enriching experience for me. The professor demonstrated a profound mastery of the subject matter and facilitated lively and insightful discussions among the students.”
