A truly complete Data Science Baccalaureate requires both mathematics, statistics and programs. Data Science BSc from Warwick links Mathematics, Statistics, Computer Science and gradually inserts algoriths, databases, software engraining, Machine learning and big topics.
I. What does the core read?
- Calculus、Linear Algebra、Probability
- Statistical Modelling、Regression、Inference
- Programming、Data Structures、Algorithms
- Databases、Software Engineering
- Machine Learning、Data Visualisation、Bayesian methods
The difference between Data Science and AI / CS
CS is broader, moving systems, networks, software systems; AI focuses more on learning, reasoning, NLP, viewing; Data Science is more of a "reliable conclusion from the information" and the statistical weight is usually higher.
iii. For what students?
People who like numbers, data, patterns, programs. Business Analytics may be more appropriate if they only like charts and business applications, but do not want to touch more math; CS or AI may be more appropriate if you want to do bottom models and systems.
IV. How do you prepare for high school?
Math is first priority. Calculus, Functions, Statistics/Probability are all important. Python can learn early, but more important than metagram, it can process information, analyze and interpret results.
V. What can be done after graduation?
Data Analyst, Data Scientist, Business Intelligence Analyst, Machine Learning Analyst, Risk Analyst, Quantitative Analyst, may also be extended in the direction of the Institute ' s Statistics, AI, Operations Research, BioInformations, etc.
