Master of Science in Applied Data Science (MSADS)
- Expectations
- Our difference
- Benefits
- Overview
- Curriculum
- Faculty
- Costs & Fees
- Requirements
At Vedere Institute, we are excited to offer our new MSADS program, designed to help meet the increasing demand for advanced analytical and technical competencies. Our goal is to help train the next generation of business analysts and data scientists to thrive in today’s data-driven world.
In today’s data-driven world, the need for skilled business analysts and data scientists who can extract valuable insights from the vast amounts of data available is more important than ever.
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 indispensable and in-demand competencies.
What Makes this Program Different?
The MSADS program at Vedere Institute is a professionally focused degree program designed to be delivered fully online as part of an innovative, staged approach to mastering data science and business analytics.
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.
Designed for recent graduates looking to launch their career in data science or business analytics, or early career professionals looking to bolster their skillset or transition to a more quantitative role, this innovative, hands-on program is defined by:
- Our expertly crafted curriculum, designed by a leading expert on AI and data science and their applications in business, ensures that your learning is both academically rigorous and industry aligned
- A fine-tuned and strategic mix of analytical, technical, and communicative skills development, giving you a comprehensive set of in-demand competencies
- An emphasis on problem-based learning and practical application, preparing ensures you deliver the analytical insights that drive today’s most successful companies
With this unique combination of features, our MSADS program is the perfect choice for recent graduates or early career professionals seeking to forge their career paths in a dynamic field with excellent professional growth and success prospects.
How will you benefit from this program?
Enrolling in our program will give you the opportunity to shape your future and be part of the next generation of leaders in our data-driven world. The program is designed to equip you with the skills and knowledge necessary to excel in the in-demand fields of data science and business analytics through a structured curriculum that emphasizes problem-based learning and practical application.
As you progress through the program, you will develop a comprehensive set of analytical, technical, and communication competencies that will give you an edge in today’s business world. By completing the full degree program, you will learn how to use the latest tools and technologies to extract valuable insights from data and gain a deep understanding of data science’s ethical considerations and practical applications.
Analytical Competencies
- Build statistical models and understand their power and limitations
- Design an experiment
- Apply problem-solving strategies to open-ended questions
Technical Competencies
- Develop software code
- 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
Communicative Competencies
- Create relevant and impactful visual representations of data for exploration, analysis and communication
- Collaborate within and across functional teams
- Deliver reproducible data analysis
- Conduct data science activities with awareness and practical understanding of policy, privacy, security, and ethical considerations
Program Overview
The structured nature of the program means there is a clear sequence to the coursework, starting with fundamental courses on Python and math and incorporating courses on analytics and machine learning along the way before culminating in a Capstone Project.
The program is offered in 8-week sessions across an academic calendar comprising 3 semesters and 6 sessions each year. While the prerequisite chain built into the program means that you can take at most 2 courses in a given session, you will have flexibility in determining how quickly you complete the program, anywhere from 12 months to 2 years. This flexibility allows you to balance your professional and personal commitments while you advance your education.
As a student in our online program, you will engage with a 50/50 mix of asynchronous and synchronous activities, providing you with the perfect blend of flexibility, structure, and interaction. The asynchronous elements of the program will include recorded content, readings, and select coding exercises and assignments, all of which will help you rapidly advance your knowledge and skills.
Synchronous activities – including weekly Q&A and coding sessions – will provide opportunities for structured interaction with faculty and industry experts and allow for a deeper dive into core topics, tools, and techniques. Group work is also a key aspect, where you will work with fellow students to tackle real-world business challenges from industry partners.
In addition, the program will also feature regular optional sessions tailored to meet individual needs and interests, including:
- Microsoft certification sessions designed to help students prepare for and obtain an array of certifications; and
- Coding sessions to support students who have never developed software code or would like to hone their coding expertise.
With this highly structured yet varied and flexible offering, The MSADS program will allow you to customize your learning journey according to your professional goals, time constraints, and preferred learning style
Key Details
-
Start Dates: 3x per year
Late August
Early January
Early May -
Program Duration:
12 Months – 2 Years -
Delivery Format:
Online Learning -
Course Length:
8 Weeks -
Student Commitment:
12 – 15 hours per week, per course
Program Curriculum
Unlock the power of data and transform your career with our innovative, staged approach to mastering Applied Data Science. Our program is designed to help you progress through three key stages, yielding a certificate upon successful completion of each of the first two stages and your Master’s degree upon completion of the final stage.
Hone your skills in Python programming, statistical modeling, deep machine learning, and decision theory within the context of business analytics, and become a leader in the field with Vedere Institute’s MSADS program.
-
Fundamental Stage (4 courses)
You will acquire a solid foundation in Python coding and statistical modeling and principles.
-
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.
-
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 MSADS program is a 36-credit program consisting of the following 11 courses and a Capstone Project.
-
Fundamental 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 will learn how to develop and run programs in Jupyter Notebooks. You will learn key programming principles and will practice applying them to real business problems. These skills will form the basis of your ability to address business problems using data.
-
Fundamental 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 problems. These skills will form the basis of your ability to address business problems using data.
Prerequisite: DAT 501
-
Fundamental 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 problems. These skills will form the basis of your ability to address business problems using data.
-
Fundamental 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 you will learn how to implement them using software code. You will learn key statistical principles and will practice applying them to real business problems. These skills will form the basis of your ability to address business problems using data.
Prerequisite: DAT 505
-
Intermediate Python for Data Science
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 will practice applying them to real business problems. These skills will further enhance your ability to address business problems using data.
Prerequisite: DAT 502
-
Intermediate Math for Data Science 1
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 will learn how to apply them using software code. You will learn key statistical principles and will practice applying them to real business problems. These skills will form the basis of your ability to address business problems using complex data structures.
Prerequisite: DAT 506
-
Intermediate Math for Data Science 2
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 will learn how to apply them using software code. You will learn advanced statistical principles and will practice applying them to real business problems. These skills will form the basis of your ability to address business problems using complex statistical techniques.
Prerequisite: DAT 605
-
Intermediate 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 the analytical skills and competencies required to inform decision-making processes in business contexts. This course will allow you to consolidate your analytical skills and competencies.
Prerequisite: DAT 502, DAT 606
-
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 will learn how to apply them using software code. You will learn basic 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 machine learning techniques.
Prerequisite: DAT 606
-
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, and 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: DAT 705
-
Professional Analytics for Decision-Making
In this course you will apply the concepts, methodologies, and techniques from previous courses to tackle real analytical challenges in collaboration with industrial partners. You will develop analytical skills and competencies and gain real experience as an aspiring data scientist.
Prerequisite: DAT 601, DAT 706
-
Capstone Project
In this course you will apply the concepts, methodologies, and techniques from previous courses to provide a solution to a real business challenge. This course will allow you to consolidate your analytical skills and competencies and gain real experience as an aspiring data scientist.
Prerequisite: DAT 601, DAT 706
Meet your Faculty
Become a leader with us.
At Vedere Institute, we are proud to have faculty who are not only knowledgeable but also passionate about teaching and helping our students succeed. Our faculty is made up of experts in their respective fields, each bringing their own unique skills and experiences to the table.
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 an early career professional looking to expand your skillset, our faculty will support and guide you at every step of your learning journey.
Prof. David Lopez
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, Lopez brings a wealth of knowledge and expertise.
Cost and Fees
The MSADS program fees are as follows:
- 36 000 USD
- 36 Credits
- 1 000 USD per Credit
Vedere Institute offers scholarships to incoming students based on specific criteria for selection including academic achievement and financial need. All students are eligible to apply for these scholarships.
Please find more information here.
Requirements for Admission
- An undergraduate degree from an accredited Institution – with a preferred GPA of 3.0 or higher
- A quantitative background from prior academic study or work experience
- Completed application form which includes personal statements/essays
- Resumé
- Official academic transcripts and certificates
- Letters of recommendation
- 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 Institute 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 Institute team
