Birla Institute Of Technology And Science–Pilani (BITS–Pilani) Courses

Career Certificate

Mathematics for Engineering

204 ratings at Coursera

Build the mathematical foundations for engineering and AI work: calculus, probability and statistics, discrete mathematics, linear algebra for machine learning, and logic for computer science.

• Coursera
• 16 weeks, 10 hours a week
• Self-Paced
• Paid Course
• 5 courses

Basic Engineering Mathematics

190 ratings at Coursera

Work through complex numbers, quadratic equations, trigonometric identities, matrix operations and inverses, limits and derivatives, integration, and first-order ordinary differential equations, with applications.

• Coursera
• 6 weeks, 3 hours a week
• Self-Paced
• Paid Course

Basic Engineering Mathematics

190 ratings at Coursera

Build an engineering math toolkit: complex numbers and quadratic equations, matrix algebra and rank, trigonometric identities, differentiation and integration techniques, and first-order ordinary differential equations.

• Coursera
• 6 weeks, 3 hours a week
• Self-Paced
• Paid Course

Introduction to Programming

56 ratings at Coursera

Learn C programming for scientific problem solving: draw flowcharts, write expressions and variables, use branching and loops, build modular functions, and search and sort arrays.

• Coursera
• 5 weeks, 8 hours a week
• Self-Paced
• Paid Course

Basic Electronics

21 ratings at Coursera

Analyze circuits using Kirchhoff's laws, nodal and mesh methods, Thevenin and Norton equivalents and phasors, then build circuits with diodes, BJTs, MOSFETs and op-amps.

• Coursera
• 10 weeks, 4 hours a week
• Self-Paced
• Paid Course

Operating Systems

18 ratings at Coursera

Learn how operating systems work: process and thread management, CPU scheduling, mutexes and semaphores, deadlock handling, paging and virtual memory, and disk and RAID storage.

• Coursera
• 10 weeks, 6 hours a week
• Self-Paced
• Paid Course

Introduction to Computing Systems

14 ratings at Coursera

Learn how a computer works from bits up: number representation, Boolean algebra, gate minimization, combinational and sequential circuits, computer organization, and LC-3 assembly programming.

• Coursera
• 6 weeks, 4 hours a week
• Self-Paced
• Paid Course

Probability and Statistics

12 ratings at Coursera

Learn descriptive statistics, probability axioms and Bayes' formula, random variables, binomial, Poisson and normal distributions, sampling and estimation, hypothesis testing, and linear and polynomial regression.

• Coursera
• 9 weeks, 3 hours a week
• Self-Paced
• Paid Course

Introduction to Bioinformatics

11 ratings at Coursera

Analyze biological and clinical data: cluster RNA-seq patient subtypes, classify single cells, build gene association networks from TCGA, and mine PubMed literature with BioBERT and NLTK.

• Coursera
• 10 weeks, 3 hours a week
• Self-Paced
• Paid Course

Writing Practice

Learn to write academic paragraphs — argumentative, cause-effect, comparison, problem-solution, process, and visual-information — with topic sentences, punctuation, conditionals, paraphrasing, and plagiarism-free integrity.

• Coursera
• 6 weeks, 6 hours a week
• Self-Paced
• Paid Course

Automata and Computability

Design finite automata, context-free grammars, and Turing machines, prove language properties with pumping lemmas and normal forms, and classify problems as decidable, P, NP or NP-complete.

• Coursera
• 10 weeks, 6 hours a week
• Self-Paced
• Paid Course

Environmental Studies

Explore ecosystems, biomes, and biogeochemical cycles, then apply biodiversity conservation, climate change science, planetary boundaries, UN SDGs, circular economy, and Life Cycle and Environmental Impact Assessment.

• Coursera
• 10 weeks, 8 hours a week
• Self-Paced
• Paid Course

Formal Languages and Applications

Build lexical analyzers and parsers while studying regular expressions, DFA minimization, context-free grammars, recursive descent, LL(1) and LR(0) parsing, and POS tagging.

• Coursera
• 10 weeks, 6 hours a week
• Self-Paced
• Paid Course

General Biology

Build a foundation in biology: study cell organelles, respiration and photosynthesis, DNA replication and transcription, Mendelian inheritance, recombinant DNA, cell division, and human organ systems.

• Coursera
• 10 weeks, 8 hours a week
• Self-Paced
• Paid Course

General Physics

Apply Newton's laws, energy and momentum conservation, the two laws of thermodynamics, and wave optics — interference, diffraction, polarization — to analyze physical systems quantitatively.

• Coursera
• 10 weeks, 5 hours a week
• Self-Paced
• Paid Course