diff --git a/numpy/__init__.cython-30.pxd b/numpy/__init__.cython-30.pxd
index 1409514f7a84..9717bf9ce013 100644
--- a/numpy/__init__.cython-30.pxd
+++ b/numpy/__init__.cython-30.pxd
@@ -242,7 +242,7 @@ cdef extern from "numpy/arrayobject.h":
         # Instead, we use properties that map to the corresponding C-API functions.
 
         @property
-        cdef inline PyObject* base(self) nogil:
+        cdef inline PyObject* base(self) noexcept nogil:
             """Returns a borrowed reference to the object owning the data/memory.
             """
             return PyArray_BASE(self)
@@ -254,13 +254,13 @@ cdef extern from "numpy/arrayobject.h":
             return <dtype>PyArray_DESCR(self)
 
         @property
-        cdef inline int ndim(self) nogil:
+        cdef inline int ndim(self) noexcept nogil:
             """Returns the number of dimensions in the array.
             """
             return PyArray_NDIM(self)
 
         @property
-        cdef inline npy_intp *shape(self) nogil:
+        cdef inline npy_intp *shape(self) noexcept nogil:
             """Returns a pointer to the dimensions/shape of the array.
             The number of elements matches the number of dimensions of the array (ndim).
             Can return NULL for 0-dimensional arrays.
@@ -268,20 +268,20 @@ cdef extern from "numpy/arrayobject.h":
             return PyArray_DIMS(self)
 
         @property
-        cdef inline npy_intp *strides(self) nogil:
+        cdef inline npy_intp *strides(self) noexcept nogil:
             """Returns a pointer to the strides of the array.
             The number of elements matches the number of dimensions of the array (ndim).
             """
             return PyArray_STRIDES(self)
 
         @property
-        cdef inline npy_intp size(self) nogil:
+        cdef inline npy_intp size(self) noexcept nogil:
             """Returns the total size (in number of elements) of the array.
             """
             return PyArray_SIZE(self)
 
         @property
-        cdef inline char* data(self) nogil:
+        cdef inline char* data(self) noexcept nogil:
             """The pointer to the data buffer as a char*.
             This is provided for legacy reasons to avoid direct struct field access.
             For new code that needs this access, you probably want to cast the result
@@ -965,7 +965,7 @@ cdef extern from "numpy/ufuncobject.h":
 
     int _import_umath() except -1
 
-cdef inline void set_array_base(ndarray arr, object base):
+cdef inline void set_array_base(ndarray arr, object base) except *:
     Py_INCREF(base) # important to do this before stealing the reference below!
     PyArray_SetBaseObject(arr, base)
 
@@ -996,7 +996,7 @@ cdef inline int import_ufunc() except -1:
         raise ImportError("numpy.core.umath failed to import")
 
 
-cdef inline bint is_timedelta64_object(object obj):
+cdef inline bint is_timedelta64_object(object obj) noexcept:
     """
     Cython equivalent of `isinstance(obj, np.timedelta64)`
 
@@ -1011,7 +1011,7 @@ cdef inline bint is_timedelta64_object(object obj):
     return PyObject_TypeCheck(obj, &PyTimedeltaArrType_Type)
 
 
-cdef inline bint is_datetime64_object(object obj):
+cdef inline bint is_datetime64_object(object obj) noexcept:
     """
     Cython equivalent of `isinstance(obj, np.datetime64)`
 
@@ -1026,7 +1026,7 @@ cdef inline bint is_datetime64_object(object obj):
     return PyObject_TypeCheck(obj, &PyDatetimeArrType_Type)
 
 
-cdef inline npy_datetime get_datetime64_value(object obj) nogil:
+cdef inline npy_datetime get_datetime64_value(object obj) noexcept nogil:
     """
     returns the int64 value underlying scalar numpy datetime64 object
 
@@ -1036,14 +1036,14 @@ cdef inline npy_datetime get_datetime64_value(object obj) nogil:
     return (<PyDatetimeScalarObject*>obj).obval
 
 
-cdef inline npy_timedelta get_timedelta64_value(object obj) nogil:
+cdef inline npy_timedelta get_timedelta64_value(object obj) noexcept nogil:
     """
     returns the int64 value underlying scalar numpy timedelta64 object
     """
     return (<PyTimedeltaScalarObject*>obj).obval
 
 
-cdef inline NPY_DATETIMEUNIT get_datetime64_unit(object obj) nogil:
+cdef inline NPY_DATETIMEUNIT get_datetime64_unit(object obj) noexcept nogil:
     """
     returns the unit part of the dtype for a numpy datetime64 object.
     """
diff --git a/numpy/random/_bounded_integers.pxd.in b/numpy/random/_bounded_integers.pxd.in
index 5ae5a806715c..bdcb32a7e212 100644
--- a/numpy/random/_bounded_integers.pxd.in
+++ b/numpy/random/_bounded_integers.pxd.in
@@ -6,7 +6,7 @@ ctypedef np.npy_bool bool_t
 
 from numpy.random cimport bitgen_t
 
-cdef inline uint64_t _gen_mask(uint64_t max_val) nogil:
+cdef inline uint64_t _gen_mask(uint64_t max_val) noexcept nogil:
     """Mask generator for use in bounded random numbers"""
     # Smallest bit mask >= max
     cdef uint64_t mask = max_val