Do You Need to Know Python Before Applying for a Master’s in Data Science?

Python language has close ties to the field, causing prospective students to question whether or not knowledge of Python is required in order to apply for the Master’s degree in Data Science. However, the answer to this question differs depending on the difference between the requirements before admission and learning at the university. The brochure for the MAS in Data Science Global Pathway Program does not require any prior Python knowledge. On the other hand, the brochure notes that programming experience in Python, C++, or Java is recommended but not obligatory. Meanwhile, the brochure clearly indicates the presence of the Python language in the India Track in the form of Programming for Data Science (Python). This is an important point. While no Python knowledge is necessary before entering the program, you should be ready to gain programming skills as part of your Data Science education. In the India Track, the Python language is learned together with the courses of Statistics & Probability for Analytics, Data Management & SQL, Data Visualisation & Business, Introduction to Machine Learning, and Cloud & Data Infrastructure Fundamentals. This article covers Python for MAS in Data Science.

Is Python Required Before Applying for a Master’s in Data Science?

No, prior Python knowledge is not listed as a mandatory requirement for the MAS in Data Science Global Pathway Program. The brochure states that programming exposure in Python, C++ or Java is preferred, but not required. Applicants must still meet the broader eligibility criteria, including a relevant bachelor’s degree and a strong quantitative background. This distinction is important for students considering Python for MAS in Data Science. Not having prior Python experience does not automatically prevent an applicant from applying, but admission is not guaranteed simply because programming is not mandatory. Applicants are evaluated based on their overall academic preparation and alignment with the program’s requirements.

Python Experience Is Preferred, Not Required

The brochure uses a specific distinction: programming exposure in Python, C++ or Java is preferred, not required. The program does not state a minimum Python proficiency level, number of programming courses, or amount of prior coding experience that applicants must have. Therefore, prospective students should not assume that a particular level of Python knowledge is an admission requirement. At the same time, Python remains part of the curriculum. The India Track includes Programming for Data Science (Python) as part of its foundational and applied learning.

What Matters More Than Knowing Python?

Python is only one part of the applicant profile. The stated eligibility criteria include:

• A bachelor’s degree in Engineering, Computer Science, Mathematics, Statistics, or a related field
• A strong quantitative background
• Alignment with Illinois Tech’s MAS in Data Science prerequisites

The admission journey includes a joint academic evaluation against Illinois Tech’s MAS Data Science prerequisites, with bridging courses assigned where required. Therefore, when considering Python for MAS in Data Science, applicants should look at their complete academic profile rather than treating Python experience as the sole eligibility factor. Programming exposure can be useful, but the brochure clearly positions it as a preferred attribute rather than a mandatory admission requirement.  

Why Is Python Important in Data Science?

Python has an important role in Data Science because programming provides a way to work with data and support computational aspects of analysis. However, Data Science is broader than programming alone. The MAS in Data Science Global Pathway Program reflects this by combining Python programming with statistics, data management, visualisation and Machine Learning in its foundational curriculum. For students considering Python for MAS in Data Science, this means Python should be viewed as one component of a broader Data Science skill set. The program does not require applicants to have prior Python experience, but it does introduce Python as part of the academic journey during the India Track.  

Python as a Data Science Programming Foundation

Programming for Data Science (Python) is explicitly listed in the India Track at Mahindra University. It is part of the program’s foundational and applied learning stage, alongside other subjects that establish the broader Data Science foundation. This gives programming a defined role in the curriculum without making it the entire focus of the program. Students encounter Python as part of their preparation for further Data Science study, rather than as a standalone programming requirement that must be completed before admission. The brochure does not provide specific Python libraries, frameworks or programming topics for this subject, so the role of Python should be understood at the curriculum level rather than through assumptions about particular tools.

Python Alongside Statistics and Data Management

The India Track places Programming for Data Science (Python) alongside Statistics & Probability for Analytics, Data Management & SQL, Data Visualisation & Business, and Introduction to Machine Learning. It also includes Cloud & Data Infrastructure Fundamentals and Applied Projects & Assessments. These subjects collectively establish different parts of a Data Science foundation. Programming addresses the computational side, statistics provides quantitative understanding, and SQL and data management address working with data. Visualisation adds another dimension to communicating and interpreting data, while Introduction to Machine Learning begins the progression toward more advanced Data Science concepts. This connected structure is important when considering Python for MAS in Data Science. Python is an important programming component, but the curriculum shows that effective Data Science education involves multiple complementary areas rather than programming in isolation.  

Is Python Taught in the MAS in Data Science Global Pathway?

Yes. The brochure explicitly lists Programming for Data Science (Python) in the India Track of the MAS in Data Science Global Pathway Program. Students encounter Python during the six-month India phase, which is designed around foundational and applied Data Science learning. This is particularly relevant for students with limited prior programming experience. While the program does not make prior Python knowledge mandatory, Python is still an actual part of the curriculum. Students should therefore be prepared to engage with programming as they build their Data Science foundation.

Python During the 6-Month India Track

The six-month India Track at Mahindra University focuses on foundational and applied Data Science learning. One of the subjects listed in this phase is Programming for Data Science (Python). Python is therefore introduced within the academic pathway before students progress to the USA Track at Illinois Tech. This structure is important for understanding Python for MAS in Data Science: students are not required to have Python knowledge as a mandatory admission prerequisite, but they will encounter Python as part of their formal Data Science education. The brochure does not specify the detailed Python syllabus, so specific programming topics, libraries or frameworks should not be assumed.

Python Within the Broader Curriculum

Python is taught alongside several other subjects in the India Track, including:

• Statistics & Probability for Analytics
• Data Management & SQL
• Data Visualisation & Business
• Introduction to Machine Learning
• Cloud & Data Infrastructure Fundamentals
• Applied Projects & Assessments

This structure demonstrates that Python is taught as part of a broader Data Science foundation, rather than as an isolated programming course. Programming, quantitative concepts, data management, visualisation, Machine Learning and infrastructure are brought together during the foundational and applied stage. For students researching Python for MAS in Data Science, the key distinction is therefore clear: prior Python experience is preferred but not required, while Python is explicitly included in the program through Programming for Data Science (Python).  

What If You Have Never Learned Python Before?

If you have never learned Python, the MAS in Data Science Global Pathway Program does not list that as an automatic barrier to applying. The brochure states that programming exposure in Python, C++ or Java is preferred, but not required. However, applicants should also understand the difference between not needing Python before admission and not needing Python at all. Python is explicitly included in the India Track through Programming for Data Science (Python), so students will encounter programming as part of their academic journey. For students considering Python for MAS in Data Science, the practical question is therefore whether they are prepared to develop programming skills during the program.

No Prior Python Does Not Equal No Programming

Prior Python knowledge is not stated as a mandatory admission requirement. The brochure specifically describes programming exposure in Python, C++ or Java as preferred, not required. At the same time, the India Track includes Programming for Data Science (Python) alongside Statistics & Probability for Analytics, Data Management & SQL, Data Visualisation & Business, Introduction to Machine Learning and Cloud & Data Infrastructure Fundamentals. Therefore, students without previous Python experience should be willing to develop their programming skills as they progress through the curriculum. The brochure does not state that the course begins at an absolute beginner level, so applicants should not assume a particular starting point.

Build Familiarity Before the Course

Although prior Python knowledge is not a stated requirement, developing some basic familiarity with programming concepts before starting can make the transition into a technical curriculum smoother. Students who are new to Python can consider reviewing introductory concepts and becoming comfortable with the basic ideas behind programming before joining the program. This is practical preparation, not an admission requirement.  

Do You Need Python More Than Other Programming Languages?

The brochure distinguishes between preferred prior programming exposure and the programming language explicitly included in the curriculum. For admission, exposure to Python, C++ or Java is preferred, but not required. However, when it comes to the actual India Track curriculum, Python is the language specifically named in Programming for Data Science (Python). For students researching Python for MAS in Data Science, this means Python has a clearly stated place in the curriculum, while C++ and Java are mentioned as preferred forms of prior programming exposure.

Python

Python is explicitly taught in the India Track through Programming for Data Science (Python). The subject is part of the foundational and applied learning stage at Mahindra University. Therefore, Python is the central programming language specifically identified within the program’s stated curriculum. Students do not need to have studied Python before applying, but they should expect to encounter it during the India phase.

C++ and Java

C++ and Java are also mentioned in the brochure, but in the context of preferred prior programming exposure. The admission criteria state that programming exposure in Python, C++ or Java is preferred, not required. The brochure does not list C++ or Java as dedicated programming subjects in the India Track. Therefore, it would be inaccurate to suggest that either language is formally taught as part of the curriculum based on the available program information.

What If You Know Another Programming Language?

The brochure specifically recognises prior exposure to Python, C++ or Java as a preferred background. If you know another programming language, the brochure does not state that this automatically satisfies the preferred programming-exposure criterion. Applicants should instead consider their overall academic background, quantitative preparation and alignment with the MAS in Data Science prerequisites. The important distinction is that Python is explicitly part of the curriculum, while Python, C++ and Java are identified as preferred forms of prior programming exposure.  

How Does Python Connect to the Rest of the Data Science Curriculum?

Python is not taught in isolation within the MAS in Data Science Global Pathway Program. The India Track places Programming for Data Science (Python) alongside statistics, data management, visualisation, Machine Learning and infrastructure subjects. This creates a broader foundation in which programming supports other areas of Data Science learning. For students considering Python for MAS in Data Science, it is useful to understand these subjects as complementary parts of the curriculum rather than separate skills.

Python and Statistics

Programming for Data Science (Python) is taught alongside Statistics & Probability for Analytics in the India Track. Conceptually, these subjects serve different but complementary purposes. Programming provides a computational foundation for working with data, while statistics and probability provide the quantitative perspective needed to analyse and interpret data. Together, they contribute to the broader foundation required for Data Science.

Python and Data Management

The India Track also combines programming with Data Management & SQL. This pairing connects technical programming skills with data-handling concepts. Rather than learning programming separately from working with data, students encounter both within the same foundational stage of the curriculum. The brochure  does not specify particular Python tools or SQL technologies beyond the stated subject areas.

Python and Machine Learning

The connection between programming and Machine Learning develops across the pathway. The India Track includes Programming for Data Science (Python) and Introduction to Machine Learning, while the USA Track progresses to Advanced Machine Learning at Illinois Tech. This creates a progression from foundational programming and introductory Machine Learning in India to advanced Machine Learning study in the USA. The brochure does not specify which programming techniques or Python frameworks are used within these subjects.

Python and Data Infrastructure

Programming also sits within a broader technical environment that includes Cloud & Data Infrastructure Fundamentals in the India Track and Data Engineering & High-Performance Computing in the USA Track. These subjects extend the curriculum from foundational Data Science skills toward more advanced technical areas. However, the brochure does not identify specific programming tools, platforms or Python frameworks associated with them. Overall, Python for MAS in Data Science should be understood as one part of a connected progression involving quantitative learning, data management, Machine Learning and infrastructure.  

How Does the 6+12 Pathway Help Students Build Technical Skills?

The 6+12 program is designed in a way that learning begins in India and gradually advances to more Data Science courses in the USA. The six-month-long India Track offered by Mahindra University acts as the base, while the 12-month-long USA Track at Illinois Tech focuses on advanced Data Science courses. From the description provided in the brochure, all credits earned in India are aligned with the U.S. course structure. For students exploring Python for MAS in Data Science, this structure shows how technical learning develops across the pathway rather than being limited to a single programming subject.

Six Months of Foundation in India

The six-month India Track provides foundational and applied Data Science learning at Mahindra University. Its curriculum includes Programming for Data Science (Python), Statistics & Probability for Analytics, Data Management & SQL, Data Visualisation & Business, Introduction to Machine Learning, and Cloud & Data Infrastructure Fundamentals. Together, these subjects establish a broad technical and quantitative foundation. Students encounter Python alongside statistics, SQL, visualisation, introductory Machine Learning and infrastructure concepts before progressing to the advanced stage of the pathway.

Twelve Months of Advanced Study in Chicago

The USA Track at Illinois Tech then progresses into advanced Data Science subjects. These include Advanced Machine Learning, Artificial Intelligence Foundations, Big Data Analytics, Data Engineering & High-Performance Computing, Data Strategy & Governance, and a Capstone Project / Master’s Thesis. This stage builds on the foundation developed in India and extends it into more advanced areas of Data Science. The pathway therefore moves from foundational programming, data and quantitative learning to advanced Machine Learning, AI, Big Data, Data Engineering and governance.  

Who Can Apply Even Without Prior Python Experience?

Prior Python experience is not a mandatory eligibility requirement for the MAS in Data Science Global Pathway Program. The brochure states that programming exposure in Python, C++ or Java is preferred, but not required. At the same time, applicants must meet the broader academic criteria, including a relevant bachelor’s degree and a strong quantitative background. The eligible bachelor’s backgrounds specifically include Engineering, Computer Science, Mathematics, Statistics and related fields.

Engineering Graduates

Engineering is explicitly listed as an accepted bachelor’s background for the program. Applicants are also expected to have a strong quantitative background. Therefore, an Engineering graduate does not need to have extensive prior Python experience simply to meet the stated programming criterion. Programming exposure is preferred rather than mandatory. However, applicants still need to satisfy the broader academic requirements and prerequisite alignment.

Computer Science Graduates

Computer Science is also explicitly listed among the eligible bachelor’s backgrounds. Prior programming exposure may be relevant to a Computer Science graduate’s academic background, but the brochure does not make a specific level of programming experience mandatory. It lists exposure to Python, C++ or Java as preferred, not required.

Mathematics and Statistics Graduates

Both Mathematics and Statistics are explicitly listed as eligible bachelor’s backgrounds. This is particularly relevant for applicants who have a strong quantitative background but may have had less prior programming experience. The program’s admission criteria recognise the importance of quantitative preparation while treating programming exposure as a preferred attribute rather than a mandatory requirement.  

Does Lack of Python Affect Your Admission?

Not having prior Python experience does not automatically prevent you from applying to the MAS in Data Science Global Pathway Program. The brochure distinguishes between preferred programming exposure and formal admission requirements: exposure to Python, C++ or Java is preferred, but not required. However, this does not mean Python is irrelevant to admission or to the program. Applicants are evaluated on their broader academic preparation and alignment with Illinois Tech’s MAS in Data Science prerequisites. For students researching Python for MAS in Data Science, the important point is that the absence of Python experience should be considered alongside the complete academic profile rather than treated as the sole admission factor.

What the Brochure Says

The brochure explicitly states that programming exposure in Python, C++ or Java is preferred, not required. This means Python experience falls into the category of a preferred background attribute rather than a formal mandatory criterion. The brochure does not specify a minimum Python proficiency level or state that applicants without Python experience are automatically ineligible.

What the Academic Review Looks At

The admission process considers the applicant’s broader academic preparation. The stated criteria include:

• Academic background: A bachelor’s degree in Engineering, Computer Science, Mathematics, Statistics or a related field.
• Quantitative preparation: A strong quantitative background is required.
• Illinois Tech prerequisite alignment: Applicants undergo a joint academic evaluation against Illinois Tech’s MAS in Data Science prerequisites.
• Bridging courses: These may be assigned where required as part of the academic progression.

Therefore, the absence of Python experience alone does not determine admission. Python for MAS in Data Science is better understood as a preferred prior exposure, while eligibility and academic evaluation consider the applicant’s overall preparation and prerequisite alignment.  

What Should You Know About Python Before Starting?

The brochure does not specify a detailed pre-course Python syllabus or a required level of Python proficiency. Therefore, applicants do not need to assume that they must master a particular set of Python topics before joining. For students considering Python for MAS in Data Science, the more important consideration is being prepared to develop programming skills as part of the wider Data Science curriculum.

Basic Programming Familiarity Can Help

Although prior Python experience is not a mandatory admission requirement, having some familiarity with basic programming concepts can help students approach a technical academic environment with greater confidence. This should be viewed as practical preparation, not an admission requirement. The brochure does not prescribe a minimum Python skill level or require applicants to complete a Python course or certification before joining.

Be Ready to Learn Python as Part of the Program

Students should expect programming to form part of their Data Science education. The India Track at Mahindra University explicitly includes Programming for Data Science (Python) within its foundational and applied learning. This is important because Python for MAS in Data Science is not simply about whether you know Python before admission. The program itself includes Python as part of the academic pathway, so students should be willing to develop their programming skills during the course.

Focus on the Full Skill Set

Python is one component of a broader Data Science foundation. The India Track combines Programming for Data Science (Python) with Statistics & Probability for Analytics, Data Management & SQL, Data Visualisation & Business, Introduction to Machine Learning, and Cloud & Data Infrastructure Fundamentals. The pathway then progresses to advanced areas in the USA Track, including Advanced Machine Learning, Artificial Intelligence Foundations, Big Data Analytics, Data Engineering & High-Performance Computing, and Data Strategy & Governance.  

Python Requirement for a Data Science Master’s: Quick Answer

If you are asking whether you need to know Python before applying for a master’s in data science, the program’s position is straightforward: prior Python knowledge is not mandatory, but programming exposure is preferred. Python is also explicitly included in the India Track as Programming for Data Science (Python). 

The India Track includes programming, statistics, SQL, visualization, Machine Learning and cloud/data infrastructure, while the USA Track progresses to advanced subjects including Advanced Machine Learning, Artificial Intelligence Foundations, Big Data Analytics and Data Engineering & High-Performance Computing.