NextSkillEdge's current Master in Data Science page describes an 18–24 month, 100% online programme delivered over four semesters.
The public curriculum moves from Python and statistics through machine learning, deep learning, natural-language processing, computer vision, big-data processing and a capstone.
The page does not name the university that would award the master's degree. It describes only a “partner university”.
CareerSkale should not publish an enrolment offer until that entity and every material programme fact are confirmed.
Published position
Master in Data Science
Confirm final award title and level
Published position
Not stated
Written application-support/payment authority required
Published position
Operates the page and describes delivery/projects
Contract must identify teaching, assessment and support duties
Published position
Unnamed partner university
Name and verify the legal awarder before publication
Published position
18–24 months, four semesters
Confirm intake-specific schedule and maximum registration
Published position
100% online
Confirm live/asynchronous split and time zone
Published position
Not published
Current fee, currency and taxes required
Published position
Not published
Current start date and capacity required
Published position
STEM background, mathematics comfort and basic programming described as preferred
Formal minimum and exception rules required
Published position
Not published
Software, cloud, assessment, resit and certificate charges required
Published position
No programme-specific rule is published. NextSkillEdge's general terms defer to NextSkillEdge and institution rules, give no fixed programme timeframe and indicate that some fees may be non-refundable
Final contract and legal policy control
Published position
Master in Data Science
Confirm final award title and level
Published position
Not stated
Written application-support/payment authority required
Published position
Operates the page and describes delivery/projects
Contract must identify teaching, assessment and support duties
Published position
Unnamed partner university
Name and verify the legal awarder before publication
Published position
18–24 months, four semesters
Confirm intake-specific schedule and maximum registration
Published position
100% online
Confirm live/asynchronous split and time zone
Published position
Not published
Current fee, currency and taxes required
Published position
Not published
Current start date and capacity required
Published position
STEM background, mathematics comfort and basic programming described as preferred
Formal minimum and exception rules required
Published position
Not published
Software, cloud, assessment, resit and certificate charges required
Published position
No programme-specific rule is published. NextSkillEdge's general terms defer to NextSkillEdge and institution rules, give no fixed programme timeframe and indicate that some fees may be non-refundable
Final contract and legal policy control
Python programming, statistics and probability, data wrangling, and exploratory data analysis.
Supervised and unsupervised learning, feature engineering and model evaluation.
Deep learning, neural networks, natural-language processing, computer vision and large-scale processing with Apache Spark.
An end-to-end capstone using a real dataset, industry mentorship and presentation or deployment of the final work.
The provider should issue a module specification showing learning outcomes, assessment weight, prerequisites, required software and academic credit. Marketing headings do not establish a master's-level qualification.
NextSkillEdge says a STEM background, basic programming and comfort with mathematics are preferred. It does not publish a precise degree classification, acceptable fields, English-language threshold or experience route.
Applicants should ask for:
The awarder must appear consistently on the application, offer, student contract, transcript and final certificate. Its recognised status must be checked in the relevant jurisdiction.
CareerSkale and NextSkillEdge should not use “internationally recognised” as a substitute for naming the institution and official status. CareerSkale is an application-support intermediary; it does not award the degree.
The page says learners will take a project from raw data through modelling and deployment. Before enrolment, ask who owns the data and code, how ethics and privacy are reviewed, what counts as successful deployment and whether the final portfolio may be shown publicly.
Industry mentorship should be defined by mentor identity, availability, feedback stage and assessment authority. Mentorship is not the same as academic supervision.
The final written quote should show tuition, currency, tax, deposit, instalments, cloud or software charges, assessment/resit fees and certificate delivery. It must state who receives the payment, who remits it and who decides a refund if the programme or awarder changes.
CareerSkale may receive payment from a partner institution when a student enrols. Any student-paid or fee-handling arrangement requires final CareerSkale approval and qualified legal review.
Before paying, read the approved Refund and Cancellation Policy and Terms and Conditions.
The enquiry and payment routes must remain disabled until the awarder and provider grid are complete.
